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Dissertations / Theses on the topic 'Objective functions'
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1
Dunatunga, Manimelwadu Samson. "Optimization of multistage systems with nondifferentiable objective functions." Diss., The University of Arizona, 1990. http://hdl.handle.net/10150/185050.
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This dissertation is aimed at a class of convex dynamic optimization problems in which the transition functions are twice continuously differentiable and the stagewise objective functions are convex, although not necessarily differentiable. Two basic descent algorithms which use sequential and parallel coordinating techniques are developed. In both algorithms the nondifferentiability of the objective function is accounted for by using subgradient information. The objective of the subproblems generated consists of successive piecewise linear approximations of the stagewise objective function and the value function. In the parallel algorithm, an incentive coordination method is used to coordinate the subproblems. We provide proofs of convergence for these algorithms. Two variations, namely, subgradient selection and subgradient aggregation, of the basic algorithms are also discussed. In practice while subgradient selection seems to perform well, computational results with subgradient aggregation are rather disappointing. Computational results of the basic algorithms and variants based on subgradient selection are given. The effect of number of stages on performance of these algorithms is compared with a general nonlinear programming package (NPSOL).
2
Fiege, Sabrina [Verfasser]. "Minimization of Lipschitzian piecewise smooth objective functions / Sabrina Fiege." Paderborn : Universitätsbibliothek, 2017. http://d-nb.info/1140105213/34.
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Murray, Skyler James. "Algorithmically Flexible Style Composition Through Multi-Objective Fitness Functions." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3382.
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Creating a fitness function for music is largely subjective and dependent on a programmer's personal tastes or goals. Previous attempts to create musical fitness functions for use in genetic algorithms lack scope or are prejudiced to a certain genre of music. They also suffer the limitation of producing music only in the strict style determined by the programmer. We show in this paper that musical feature extractors that avoid the challenges of qualitative judgment enable creation of a multi-objective function for direct music production. Multi-objective fitness functions enable creation of music with varying identifiable styles. With this system we produced three distinct groups of music which computationally cluster into distinct styles as described by the set of feature extractors. We also show that knowledgeable individuals make similar clusters while a random sample of people make some similar and some different clusterings.
4
Figueiró, Thiago Rosa. "Multiple objective technology independent logic synthesis for multiple output functions through AIG functional composition." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2010. http://hdl.handle.net/10183/27663.
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O emprego de ferramentas de automação de projetos de circuitos integrados permitiu que projetos complexos atingissem time-to-market e custos de produção factíveis. Neste contexto, o processo de síntese lógica é uma etapa fundamental no fluxo de projeto. O passo independente de tecnologia (parte do processo de síntese lógica, que é realizada sem considerar características físicas) é tradicionalmente realizado sobre equações. O desenvolvimento de novos algoritmos de otimização multi-nível recentemente migrou para o emprego de And-Inverter Graphs (AIGs). O número de nodos e a altura de um grafo apresentam melhor correlação com os resultados em área e atraso de um circuito, se comparados com as características de outras formas de representação. Neste trabalho, um algoritmo de síntese lógica independente de tecnologia, que funciona sobre uma estrutura de AIGs, é proposto. Uma nova abordagem para a construção de AIGs, baseada no novo paradigma de síntese chamado de composição funcional, é apresentado. Esta abordagem consiste em construir o AIG final através da associação de AIGs mais simples, em uma abordagem bottom-up. Durante a construção do grafo, o método controla as características dos grafos intermediários e finais, a partir da aplicação de uma função de custo, como forma de avaliação da qualidade desses AIGs. O objetivo é a minimização do número de nodos e da altura do AIG final. Este algoritmo de síntese lógica multi-objetivo apresenta características interessantes e vantagens quando comparado com abordagens tradicionais. Além disso, este trabalho apresenta a síntese de funções com múltiplas saídas em AIGs, o que melhora a característica de compartilhamento de estruturas, melhorando o circuito resultante. Resultados mostraram a melhora em torno de 5% em número de nodos, quando comparados com os resultados obtidos com a ferramenta ABC.The use of design automation tools has allowed complex projects to reach feasible time-to-market and cost parameters. In this context, logic synthesis is a critical procedure in the design flow. The technology independent step (part of the logic synthesis which is performed regardless any physical property) is traditionally performed over equations. The development of new multi-level optimization algorithms has recently shifted towards the use of And-Inverter-Graphs (AIGs). The number of nodes and the graphs depth in AIGs present better correlation with resulting circuit area and delay than any characteristic of other representations. In this work, a technology independent synthesis algorithm that works on top of an AIG data structure is proposed. A novel approach for AIG construction, based on a new synthesis paradigm called functional composition, is introduced. This approach consists in building the final AIG by associating simpler AIGs, in a bottom-up approach. The method controls, during the graphs construction, the characteristics of final and intermediate graphs by applying a cost function as a way to evaluate the quality of those AIGs. The goal is to minimize the number of nodes and the depth of the final AIG. This multi-objective synthesis algorithm has presented interesting features and advantages when compared to traditional approaches. Moreover, this work presents a method for AIGs construction for multiple output functions, which enhances structural sharing, improving the resulting circuit. Results have shown an improvement of around 5% in number of nodes when compared to ABC tool.
5
Furuhashi, Takeshi, Tomohiro Yoshikawa, and Shun Otake. "A Study on Aggregation of Objective Functions in MaOPs Based on Evaluation Criteria." 日本知能情報ファジィ学会, 2010. http://hdl.handle.net/2237/20688.
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Session ID: TH-E1-4SCIS & ISIS 2010, Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems. December 8-12, 2010, Okayama Convention Center, Okayama, Japan
6
Cheng, Qinbo [Verfasser]. "Evaluating the Effect of Objective Functions on Model Calibration / Qinbo Cheng." Berlin : Freie Universität Berlin, 2015. http://d-nb.info/1064869610/34.
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El-Samadony, A. A. El-Y. "Development of an improved construction bidding model incorporating multiple objective functions." Thesis, University of Leeds, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.373847.
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Amouzgar, Kaveh. "Metamodel based multi-objective optimization." Licentiate thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH. Forskningsmiljö Produktutveckling - Simulering och optimering, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-28432.
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As a result of the increase in accessibility of computational resources and the increase in the power of the computers during the last two decades, designers are able to create computer models to simulate the behavior of a complex products. To address global competitiveness, companies are forced to optimize their designs and products. Optimizing the design needs several runs of computationally expensive simulation models. Therefore, using metamodels as an efficient and sufficiently accurate approximate of the simulation model is necessary. Radial basis functions (RBF) is one of the several metamodeling methods that can be found in the literature. The established approach is to add a bias to RBF in order to obtain a robust performance. The a posteriori bias is considered to be unknown at the beginning and it is defined by imposing extra orthogonality constraints. In this thesis, a new approach in constructing RBF with the bias to be set a priori by using the normal equation is proposed. The performance of the suggested approach is compared to the classic RBF with a posteriori bias. Another comprehensive comparison study by including several modeling criteria, such as problem dimension, sampling technique and size of samples is conducted. The studies demonstrate that the suggested approach with a priori bias is in general as good as the performance of RBF with a posteriori bias. Using the a priori RBF, it is clear that the global response is modeled with the bias and that the details are captured with radial basis functions. Multi-objective optimization and the approaches used in solving such problems are briefly described in this thesis. One of the methods that proved to be efficient in solving multi-objective optimization problems (MOOP) is the strength Pareto evolutionary algorithm (SPEA2). Multi-objective optimization of a disc brake system of a heavy truck by using SPEA2 and RBF with a priori bias is performed. As a result, the possibility to reduce the weight of the system without extensive compromise in other objectives is found. Multi-objective optimization of material model parameters of an adhesive layer with the aim of improving the results of a previous study is implemented. The result of the original study is improved and a clear insight into the nature of the problem is revealed.
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Pokrud, Boonyarit. "H∞ optimal control : general solution by interpolation and design with multiple objective functions." Thesis, University of Surrey, 1989. http://epubs.surrey.ac.uk/847911/.
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A new method for solving Hinfinity control problems is developed. The method makes use of the Youla parametrization to characterize the set of all stabilizing controllers K(s) in terms of a stable function Q(s). and also to transform the Hinfinity control problem into a model-matching problem with an objective function E(s) being linear in Q(s). The model-matching problem is then solved by using the interpolation results of Hung. In the general case (i.e. problems of the 3rd kind) closed-form state-space characterizations of optimal and suboptimal solutions for Q(s) and E(s) are given. Furthermore, the solutions generally only require to solve two standard algebraic Riccati equations of smaller size than the McMillan degree of the (generalized) plant. This has an advantage of alleviating the computation burden associated with the ?-iteration required for determining the attainable minimum of ||E(s)||[infinity]. The Hinfinity approach to feedback design with multiple objective functions is studied in this thesis. For a system with two objective functions T[i](s), (i = 1, 2) a design criterion of minimizing the function max (||T[1](s)||[infinity], ||T[2](s)||[infinity]) subject to internal stability of the closed-loop system is proposed. The problem is formulated as an Hinfinity control problem and an iterative algorithm for obtaining a solution is given. A numerical example is given to illustrate the effectiveness of the proposed design technique for tightly bounding and shaping the frequency responses of two objective functions. The application of Hinfinity feedback design techniques to the control of flexible structures is investigated. Experiments are conducted in order to evaluate the use of the Hinfinity approach to the control of flexible structures. An Hinfinity optimal controller is designed and implemented in a laboratory system to manoeuvre a cantilever flexible beam and simultaneously control its vibrations. The controller performance is then assessed. The results obtained are shown to be satisfactory and encouraging.
10
Vanden, Berghen Frank. "Constrained, non-linear, derivative-free, parallel optimization of continuous, high computing load, noisy objective functions." Doctoral thesis, Universite Libre de Bruxelles, 2004. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/211177.
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The main result is a new original algorithm: CONDOR ("COnstrained, Non-linear, Direct, parallel Optimization using trust Region method for high-computing load, noisy functions"). The aim of this algorithm is to find the minimum x* of an objective function F(x) (x is a vector whose dimension is between 1 and 150) using the least number of function evaluations of F(x). It is assumed that the dominant computing cost of the optimization process is the time needed to evaluate the objective function F(x) (One evaluation can range from 2 minutes to 2 days). The algorithm will try to minimize the number of evaluations of F(x), at the cost of a huge amount of routine work. CONDOR is a derivate-free optimization tool (i.e. the derivatives of F(x) are not required. The only information needed about the objective function is a simple method (written in Fortran, C++,) or a program (a Unix, Windows, Solaris, executable) which can evaluate the objective function F(x) at a given point x. The algorithm has been specially developed to be very robust against noise inside the evaluation of the objective function F(x). This hypotheses are very general, the algorithm can thus be applied on a vast number of situations. CONDOR is able to use several CPU's in a cluster of computers. Different computer architectures can be mixed together and used simultaneously to deliver a huge computing power. The optimizer will make simultaneous evaluations of the objective function F(x) on the available CPU's to speed up the optimization process. The experimental results are very encouraging and validate the quality of the approach: CONDOR outperforms many commercial, high-end optimizer and it might be the fastest optimizer in its category (fastest in terms of number of function evaluations). When several CPU's are used, the performances of CONDOR are currently unmatched (may 2004). CONDOR has been used during the METHOD project to optimize the shape of the blades inside a Centrifugal Compressor (METHOD stands for Achievement Of Maximum Efficiency For Process Centrifugal Compressors THrough New Techniques Of Design). In this project, the objective function is based on a 3D-CFD (computation fluid dynamic) code which simulates the flow of the gas inside the compressor.Doctorat en sciences appliquées
info:eu-repo/semantics/nonPublished
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Hosseini, Aghozi Nulifar Sadat [Verfasser], and Bernd [Akademischer Betreuer] Noche. "Expansion of variability related objective functions to due date issues / Nilufar Sadat Hosseini Aghozi ; Betreuer: Bernd Noche." Duisburg, 2019. http://d-nb.info/1191691039/34.
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Mazon, Jeremy J., Christopher L. Castro, David K. Adams, Hsin-I. Chang, Carlos M. Carrillo, and John J. Brost. "Objective Climatological Analysis of Extreme Weather Events in Arizona during the North American Monsoon." AMER METEOROLOGICAL SOC, 2016. http://hdl.handle.net/10150/622579.
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Almost one-half of the annual precipitation in the southwestern United States occurs during the North American monsoon (NAM). Given favorable synoptic-scale conditions, organized monsoon thunderstorms may affect relatively large geographic areas. Through an objective analysis of atmospheric reanalysis and observational data, the dominant synoptic patterns associated with NAM extreme events are determined for the period from 1993 to 2010. Thermodynamically favorable extreme-weather-event days are selected on the basis of atmospheric instability and precipitable water vapor from Tucson, Arizona, rawinsonde data. The atmospheric circulation patterns at 500 hPa associated with the extreme events are objectively characterized using principal component analysis. The first two dominant modes of 500-hPa geopotential-height anomalies of the severe-weather-event days correspond to type-I and type-II severe-weather-event patterns previously subjectively identified by Maddox et al. These patterns reflect a positioning of the monsoon ridge to the north and east or north and west, respectively, from its position in the "Four Corners" region during the period of the climatological maximum of monsoon precipitation from mid-July to mid-August. An hourly radar gauge precipitation product shows evidence of organized, westward-propagating convection in Arizona during the type-I and type-II severe weather events. This new methodological approach for objectively identifying severe weather events may be easily adapted to inform operational forecasting or analysis of gridded climate data.
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Akteke-ozturk, Basak. "New Approaches To Desirability Functions By Nonsmooth And Nonlinear Optimization." Phd thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612649/index.pdf.
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Desirability Functions continue to attract attention of scientists and researchers working in
the area of multi-response optimization. There are many versions of such functions, differing
mainly in formulations of individual and overall desirability functions. Derringer and
Suich&rsquos desirability functions being used throughout this thesis are still the most preferred ones in practice and many other versions are derived from these. On the other hand, they have a drawback of containing nondifferentiable points and, hence, being nonsmooth. Current approaches to their optimization, which are based on derivative-free search techniques and modification of the functions by higher-degree polynomials, need to be diversified considering opportunities offered by modern nonlinear (global) optimization techniques and related softwares. A first motivation of this work is to develop a new efficient solution strategy for the maximization of overall desirability functions which comes out to be a nonsmooth composite constrained optimization problem by nonsmooth optimization methods. We observe that individual desirability functions used in practical computations are of mintype, a subclass of continuous selection functions. To reveal the mechanism that gives rise to a variation in the piecewise structure of desirability functions used in practice, we concentrate on a component-wise and generically piecewise min-type functions and, later on, max-type functions. It is our second motivation to analyze the structural and topological properties of desirability functions via piecewise max-type functions. In this thesis, we introduce adjusted desirability functions based on a reformulation of the individual desirability functions by a binary integer variable in order to deal with their piecewise definition. We define a constraint on the binary variable to obtain a continuous optimization problem of a nonlinear objective function including nondifferentiable points with the constraints of bounds for factors and responses. After describing the adjusted desirability functions on two well-known problems from the literature, we implement modified subgradient algorithm (MSG) in GAMS incorporating to CONOPT solver of GAMS software for solving the corresponding optimization problems. Moreover, BARON solver of GAMS is used to solve these optimization problems including adjusted desirability functions. Numerical applications with BARON show that this is a more efficient alternative solution strategy than the current desirability maximization approaches. We apply negative logarithm to the desirability functions and consider the properties of the resulting functions when they include more than one nondifferentiable point. With this approach we reveal the structure of the functions and employ the piecewise max-type functions as generalized desirability functions (GDFs). We introduce a suitable finite partitioning procedure of the individual functions over their compact and connected interval that yield our so-called GDFs. Hence, we construct GDFs with piecewise max-type functions which have efficient structural and topological properties. We present the structural stability, optimality and constraint qualification properties of GDFs using that of max-type functions. As a by-product of our GDF study, we develop a new method called two-stage (bilevel) approach for multi-objective optimization problems, based on a separation of the parameters: in y-space (optimization) and in x-space (representation). This approach is about calculating the factor variables corresponding to the ideal solutions of each individual functions in y, and then finding a set of compromised solutions in x by considering the convex hull of the ideal factors. This is an early attempt of a new multi-objective optimization method. Our first results show that global optimum of the overall problem may not be an element of the set of compromised solution. The overall problem in both x and y is extended to a new refined (disjunctive) generalized semi-infinite problem, herewith analyzing the stability and robustness properties of the objective function. In this course, we introduce the so-called robust optimization of desirability functions for the cases when response models contain uncertainty. Throughout this thesis, we give several modifications and extensions of the optimization problem of overall desirability functions.
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Riley, Mike J. W. "Evaluating cascade correlation neural networks for surrogate modelling needs and enhancing the Nimrod/O toolkit for multi-objective optimisation." Thesis, Cranfield University, 2011. http://dspace.lib.cranfield.ac.uk/handle/1826/6796.
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Engineering design often requires the optimisation of multiple objectives, and becomes significantly more difficult and time consuming when the response surfaces are multimodal, rather than unimodal. A surrogate model, also known as a metamodel, can be used to replace expensive computer simulations, accelerating single and multi-objective optimisation and the exploration of new design concepts. The main research focus of this work is to investigate the use of a neural network surrogate model to improve optimisation of multimodal surfaces.
Several significant contributions derive from evaluating the Cascade Correlation neural network as the basis of a surrogate model. The contributions to the neural network community ultimately outnumber those to the optimisation community.
The effects of training this surrogate on multimodal test functions are explored. The Cascade Correlation neural network is shown to map poorly such response surfaces. A hypothesis for this weakness is formulated and tested. A new subdivision technique is created that addresses this problem; however, this new technique requires excessively large datasets upon which to train.
The primary conclusion of this work is that Cascade Correlation neural networks form an unreliable basis for a surrogate model, despite successes reported in the literature.
A further contribution of this work is the enhancement of an open source optimisation toolkit, achieved by the first integration of a truly multi-objective optimisation algorithm.
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Bengtlars, Ann, and Erik Väljamets. "Optimization of Pile Groups : A practical study using Genetic Algorithm and Direct Search with four different objective functions." Thesis, KTH, Bro- och stålbyggnad, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-146832.
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Piling is expensive but often necessary when building large structures, for example bridges. Some pile types, such as steel core piles, are very costly and it is therefore of great interest to keep the number piles in a pile group to a minimum. This thesis deals with optimization of pile groups with respect to placement, batter and angle of rotation in order to minimize the number of piles. A program has been developed, where two optimization algorithms named Genetic Algorithm and Direct Search, and four objective functions have been used. These have been tested and compared to find the most suitable for pile group optimization. Three real cases, two bridge supports and one culvert, have been studied, using the program. It has been difficult to draw any clear conclusions since the results have been ambiguous. This is probably because only three cases have been tested and the results are very problemdependent.The outcome depends, for example, on the starting guess and settings for the optimization. However, the results show that the Genetic Algorithm is somewhat more robust in its ability to remove piles than Direct Search and is therefore to prefer in pile group optimization.
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Björnsson, Lars-Henrik, Sten Karlsson, and Frances Sprei. "Objective functions for plug-in hybrid electric vehicle battery range optimization and possible effects on the vehicle fleet." Elsevier, 2017. https://publish.fid-move.qucosa.de/id/qucosa%3A72804.
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This study analyzes how, in a possible electrification of the car fleet through plug-in hybrid electric vehicles (PHEV), the choice of objective function, which potentially reflects different stakeholders’ interests, may influence the resulting optimal PHEV battery range, the PHEV share in the vehicle fleet, the fleet total cost of ownership (TCO) savings, and the fleet electric drive fraction under various economic conditions and policy options.
The optimal battery range can differ considerably among objective functions, especially between the objectives of maximizing the number of PHEVs and maximizing driving on electricity. Increased viability of the PHEV, for instance, through lower battery costs, higher running cost savings, or PHEV-promoting subsidies, will strengthen this effect. Therefore, a high share of viable PHEVs in the vehicle fleet does not necessarily result in a high share of electric driving. When designing policies to promote PHEVs, both the short- and long-term policy objectives and their potential effects need to be considered explicitly.
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Okhiria, Joseph, and Godstime Nwankwo. "The functions of intermediaries in Swedish SMEs internationalization to the Nigerian market." Thesis, Högskolan Dalarna, Företagsekonomi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:du-12699.
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Over the years so many academic literatures has revealed that increased number of firms have seen internationalization as a means to gain and sustain competitive advantage and even increase economic of scale, and this has led many western companies to emerging markets. In this paper we discovered that among the pool of Swedish firms, only the MNEs have seen Nigerian market attractive to internationalize to, but just a few of the Swedish SMEs has expanded to the Nigerian market. This research was conducted by doing a qualitative study with the use of phenomenological research approach, during our investigation on the functions of intermediaries in Swedish SMEs internationalization to Nigeria market.Furthermore, we were able to understand the importance and functions of the different marketing intermediaries’ in Swedish SMEs internationalization to Nigeria market. These intermediaries equip the Swedish firms with the required objective knowledge of the Nigerian market, updating them with recent development of the opportunities and threats involved in the Nigerian marketing environment, and linking these Swedish firms to the required government departments, distributors, agent/broker, customers, middle men etc, thereby impacting them with the experiential knowledge. Moreover, it is important for firms to have objective or pre-market knowledge of a particular market before entering that market, but this knowledge is regarded as non-helpful knowledge to firms. But the experiential knowledge is acquired over time in the market, which is regarded as the helpful knowledge. It is evident that the intermediaries equip these firms with both objective and experiential knowledge.Although the opportunities in some emerging markets are very attractive, but the threats in these markets are other factors firms also put into consideration before internationalizing to these markets. This is why thorough market research has to be done so that firms can create effective marketing strategies when they want to expand their marketing activities to emerging markets. Despite the risk and uncertainties involved in doing business in foreign countries, still yet companies selling global products do not have any choice than to internationalize their marketing operations.
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Basoudan, Nasreen S. "A neuropsychological investigation of non-clinical anxiety levels and information processing speed in ageing, subjective and objective cognitive functions." Thesis, Swansea University, 2018. https://cronfa.swan.ac.uk/Record/cronfa48729.
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The speed at which an individual processes information, also referred to as reaction time (RT), is associated with attentional function and is commonly used as a measurement in the diagnosis of age related neurodegenerative disorders and commonly employed in ageing studies. In spite of the common use of information processing speed (RT) in ageing studies and as a diagnostic tool in neurodegenerative disorders, there is a lack of consensus regarding the most appropriate tests to use in the measurement of RT and a lack of consideration when it comes to both methodological and person-related factors that could influence test results. Still further, there is a marked lack of consideration of the idea that these tests may return different results between young adults and older adults, decreasing the overall reliability of the tests themselves. The purpose of the study was to complete an analysis of the test results of multiple RT tests in order to identify whether the study outcome of reaction time and its variability (intra-individual variability or IIV) in young adults and older adults was associated with the methodological factors of the type of test used to measure RT (and thus attentional function measured), the number of trials used and the participant hesitancy in responding; or whether variation occurred within test results due to non-clinical levels of anxiety experienced by the participant, and in relation to the possible/potential related factors, such as non-clinical depression levels, objectively measured general cognitive function, subjective memory function and educational level, sleep and sex. In the completion of the different phases of testing, analysis of the results showed that, in general, RT was slower, and IIV was greater, among older adults, as compared to the results obtained from the young adult group (in all tasks used). Levels of non-clinical anxiety were significantly higher in younger adults as compared to older adults. Although non-clinical anxiety levels could be linked with RT and IIV measures, the results varied concerning the task used, suggesting that this variability in result had to do with task type. Non-clinical levels of anxiety were correlated to sleep quality in specific areas for both younger and older adults, and that relationship was associated with RT, IIV, and attentional-related function in the completion of certain tasks or test types. These Ph.D. research findings may assist in improving clinical practice through the creation and integration of future evidence-based research practices.
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Moser, Uwe Dominik [Verfasser], and Dieter [Akademischer Betreuer] Schramm. "Multivariate Time Series Clustering and Classification for Objective Assessment of Automated Driving Functions / Uwe Dominik Moser ; Betreuer: Dieter Schramm." Duisburg, 2020. http://d-nb.info/1216038880/34.
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Helbig, Marde. "Solving dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation." Thesis, University of Pretoria, 2012. http://hdl.handle.net/2263/28161.
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Most optimisation problems in everyday life are not static in nature, have multiple objectives and at least two of the objectives are in conflict with one another. However, most research focusses on either static multi-objective optimisation (MOO) or dynamic singleobjective optimisation (DSOO). Furthermore, most research on dynamic multi-objective optimisation (DMOO) focusses on evolutionary algorithms (EAs) and only a few particle swarm optimisation (PSO) algorithms exist. This thesis proposes a multi-swarm PSO algorithm, dynamic Vector Evaluated Particle Swarm Optimisation (DVEPSO), to solve dynamic multi-objective optimisation problems (DMOOPs). In order to determine whether an algorithm solves DMOO efficiently, functions are required that resembles real world DMOOPs, called benchmark functions, as well as functions that quantify the performance of the algorithm, called performance measures. However, one major problem in the field of DMOO is a lack of standard benchmark functions and performance measures. To address this problem, an overview is provided from the current literature and shortcomings of current DMOO benchmark functions and performance measures are discussed. In addition, new DMOOPs are introduced to address the identified shortcomings of current benchmark functions. Guides guide the optimisation process of DVEPSO. Therefore, various guide update approaches are investigated. Furthermore, a sensitivity analysis of DVEPSO is conducted to determine the influence of various parameters on the performance of DVEPSO. The investigated parameters include approaches to manage boundary constraint violations, approaches to share knowledge between the sub-swarms and responses to changes in the environment that are applied to either the particles of the sub-swarms or the non-dominated solutions stored in the archive. From these experiments the best DVEPSO configuration is determined and compared against four state-of-the-art DMOO algorithms.Thesis (PhD)--University of Pretoria, 2012.
Computer Science
unrestricted
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Sauze, Martin J. "An investigation using empirical orthogonal functions and objective analysis to analyze the vertical temperature structure of a Gulf Stream meander." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1993. http://handle.dtic.mil/100.2/ADA265116.
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Echeveste, Rodrigo S. [Verfasser], Claudius [Gutachter] Gros, and Christoph von der [Gutachter] Malsburg. "Complementary approaches to synaptic plasticity : from objective functions to Biophysics / Rodrigo S. Echeveste. Gutachter: Claudius Gros ; Christoph von der Malsburg." Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2016. http://d-nb.info/1108410073/34.
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Echeveste, Rodrigo [Verfasser], Claudius [Gutachter] Gros, and Christoph von der [Gutachter] Malsburg. "Complementary approaches to synaptic plasticity : from objective functions to Biophysics / Rodrigo S. Echeveste. Gutachter: Claudius Gros ; Christoph von der Malsburg." Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2016. http://nbn-resolving.de/urn:nbn:de:hebis:30:3-297706.
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Krahnke, Andreas. "The Clarke Derivative and Set-Valued Mappings in the Numerical Optimization of Non-Smooth, Noisy Functions." Thesis, Virginia Tech, 2001. http://hdl.handle.net/10919/32132.
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In this work we present a new tool for the convergence analysis of numerical optimization methods. It is based on the concepts of the Clarke derivative and set-valued mappings. Our goal is to apply this tool to minimization problems with non-smooth and noisy objective functions.
After deriving a necessary condition for minimizers of such functions, we examine two unconstrained optimization routines. First, we prove new convergence theorems for Implicit Filtering and General Pattern Search. Then we show how these results can be used in practice, by executing some numerical computations.Master of Science
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Wang, Xiaoyi. "Structural Condition Assessment of Steel Stringer Highway Bridges." University of Cincinnati / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1115351511.
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Rimer, Michael Edwin. "Improving Neural Network Classification Training." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd2094.pdf.
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Maassen, Kathrin [Verfasser], and Jutta [Akademischer Betreuer] Geldermann. "Analysis of idle time and waiting time as objective functions and the influence of processing times in permutation flow shop scheduling / Kathrin Maassen ; Betreuer: Jutta Geldermann." Duisburg, 2020. http://d-nb.info/1223849392/34.
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Barber, Matthew Gabriel. "Trends and Observations from Steel Stringer Bridge Model Calibrations." University of Cincinnati / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1227027752.
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Eriksson, Emma. "Fysisk aktivitets påverkan på exekutiva funktioner hos äldre personer : Relationen mellan subjektivt och objektivt minne i relation till fysisk aktivitet." Thesis, Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-79499.
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Syftet med denna studie var att undersöka hur fysisk aktivitet påverkar det subjektiva och objektiva minnet hos personer i åldrarna 65–75, samt om det finns någon relation mellan det upplevda subjektiva minnet och den objektiva minnesprestationen i relation till mängden fysisk aktivitet hos deltagarna. Urvalet bestod av 121 deltagare i åldrarna 65–75. Fysisk aktivitet mättes med Saltin-Grimby Physical Activity Level Scale (SGPALS). Det subjektiva minnet mättes genom att deltagarna fick självskatta sitt minne på en skala, samt svara på hur de jämförde sitt minne med personer i deras ålder och om personer i deras omgivning tycker att de har dåligt minne. De exekutiva funktionerna inhibering och shifting mättes med testerna Flanker, Simon, Local Global och Number Letter. Antalet korrekta svar på testen användes som utfallsvariabel. Resultatet visade på ett signifikant samband mellan fysisk aktivitet och självskattat subjektivt minne, fysisk aktivitet förklarade 8.9% av variansen. Det var dock ingen signifikant relation mellan fysisk aktivitet och objektiva minnesprestationer. Interventioner som syftar till att öka äldre individers nivå av fysisk aktivitet kan vara fördelaktigt för att minska risken att drabbas av subjektiv minnesnedsättning.The aim of this study was to investigate how physical activity affects the subjective and objective memory of people aged 65-75, and whether there is any relationship between the perceived subjective memory and the objective memory performance in relation to the amount of physical activity in the participants. The sample consisted of 121 participants aged 65-75. Physical activity was measured with the Saltin-Grimby Physical Activity Level Scale (SGPALS). The subjective memory was measured by the participants having to self-estimate their memory on a scale, as well as responding to how they compared their memory to people their age and whether people around them think they have poor memory. The executive functions inhibition and shifting were measured with the Flanker, Simon, Local Global and Number Letter tasks. The outcome variable was the total amount of correct answers. The results showed a significant relationship between physical activity and self-rated subjective memory, physical activity explained 8.9% of variance. Furthermore, there was no significant correlation between physical activity and objective memory performance. Interventions aimed at increasing the level of physical activity of older individuals may be beneficial in reducing the risk of subjective memory impairment.
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Jesus, Luiz Henrique Reis de. "Aplicação interativa em processos de otimização por método das estratégias de evolução." Universidade Federal de Goiás, 2017. http://repositorio.bc.ufg.br/tede/handle/tede/7458.
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Conselho Nacional de Pesquisa e Desenvolvimento Científico e Tecnológico - CNPq
This dissertation of master degree describes an approach of the interactive optimization process associate to the Evolution Strategies method for the evaluation of the loudspeaker optimization project, with the objective to present the advantages achieved after the user interventions throughout the optimization process. Its development is based on the methodology of the Evolution Strategies characterized by the concept of natural selection, which uses combination and mutation methods to generate new individuals. However, for greater efficiency in the responses of the objective function, as well as the reduction in its convergence time, the optimization process requires interventions in stabilization of local minima and maxima. In the interventions made available to the user, will be considered manipulations in the operators of mutation and combination, mutation of the parameters of self-adaptation, as well as the change of objective and the variation of their respective restriction. As a differential, an interface was developed to make feasible the user interventions applied to the optimization process, as well as the monitoring of the entire process. In this work, also evaluated optimization test functions with the objective of validating the proposed methodology.
Esta dissertação de mestrado descreve uma abordagem do processo de otimização interativa associado ao método das Estratégias de Evolução para a avaliação do projeto de otimização do alto-falante, com o objetivo de apresentar as vantagens alcançadas após as intervenções do usuário ao longo do processo de otimização. Seu desenvolvimento é baseado na metodologia das Estratégias de Evolução caracterizada pelo conceito de seleção natural, o qual utiliza de métodos de combinação e mutação para a geração de novos indivíduos. No entanto, para maior eficiência nas respostas a função objetivo, bem como a redução em seu tempo de convergência, o processo de otimização necessita de intervenções em estabilizações de mínimos e máximos locais. Nas intervenções disponibilizadas ao usuário, serão consideradas manipulações nos operadores de mutação e combinação, mutação dos parâmetros de auto-adaptação, bem como a mudança de objetivo e a variação de sua respectiva restrição. Como diferencial, foi desenvolvida uma interface para viabilizar as intervenções do usuário aplicadas ao processo de otimização, bem como o acompanhamento de todo o processo. Neste trabalho, também foram avaliadas funções de teste de otimização com o objetivo de validar a metodologia proposta.
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Anacleto, Eduardo Alves de Jesus. "Reavaliação rápida em problemas de otimização quadrática binária." reponame:Repositório Institucional da UFABC, 2018.
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Orientador: Prof. Dr. Cláudio Nogueira de MenesesDissertação (mestrado) - Universidade Federal do ABC, Programa de Pós-Graduação em Ciência da Computação, 2018.
Diversos problemas da area de otimização combinatoria podem ser convertidos, em tempo polinomial, para o problema de Programação Quadratica Binaria Irrestrita (UBQP). Neste problema, desejamos encontrar um vetor solução binario x, de dimensão n, tal que a função objetivo f(x) = x|Qx tenha valor mínimo, onde Q é uma matriz com coeficientes racionais. Em termos de complexidade computacional, o problema UBQP pertence a classe NP-difícil. A importancia deste problema, tanto pratica quanto teorica, tem motivado muitos pesquisadores a dedicarem uma quantidade razoavel de tempo tentando projetar tecnicas de resolução exatas e heuristicas para este problema. Durante o processo de resolução do problema UBQP, estas tecnicas necessitam reavaliar muitas vezes o valor da função objetivo. Dependendo da maneira como esta reavaliação é realizada, pode ser preciso executar um numero relativamente grande de operações elementares (atribuições, adições, subtrações e comparações). Isto pode consumir muito tempo de processamento quando n é grande. Nesta pesquisa, propomos formulas que requerem poucas operações para efetuar a reavaliação. Na literatura do problema UBQP, formulas de reavaliação são aplicadas, normalmente, quando há ate duas alterações nos componentes do vetor solução. As formulas que deduzimos podem ser usadas para efetuar qualquer quantidade de alterações. Analisamos uma das nossas formulas de maneira teorica e deduzimos funções que podem ser adotadas para indicar o melhor momento para aplicar essa formula. Ademais, projetamos algoritmos com estas formulas de reavaliação e verificamos a praticidade destes algoritmos conduzindo experimentos computacionais usando implementações de heurísticas de busca local e Variable Neighborhood Search. Nesses experimentos comparamos o desempenho dessas implementações ao resolver instancias da literatura para o problema UBQP. Os resultados experimentais evidenciaram que as formulas de reavaliação, propostas, podem propiciar reduções relativamente grandes nos tempos de processamento, mesmo quando o numero de diferenças entre soluções é moderadamente grande.
Several combinatorial optimization problems can be reformulated, in polynomial time, to the Unconstrained Binary Quadratic Programming (UBQP) problem. In this problem, we are interested in finding an n-dimensional binary solution vector, x, that minimizes the objective function f(x) = x|Qx, where Q is a matrix with rational coecients. In terms of computational complexity, the UBQP problem belongs to the NP-hard class. The practical and theoretical importance of this problem has motivated many researchers to dedicate a reasonable amount of time developing exact and heuristic solution techniques to solve this problem. During the resolution process of the UBQP problem, these techniques need to evaluate many times the objective function value. Depending on how it is made, it may be necessary to execute a relatively large number of elementary operations, such as assignments, additions, subtractions and comparisons. For n large, this may be time consuming. In this research, we propose formulas to perform the reevaluation requiring lesser operations than the simple evaluation of the objective function. In the literature of the UBQP problem, it is common to use reevaluation formulas only when there are at most two- ip moves that simultaneously change the values of two components. The formulas we have deduced can be used to evaluate any number of ip moves. We analyzed one of our reevaluation formulas and deduced functions that can be used to suggest the best moment to apply this formula. In addition, we designed algorithms with these reevaluation formulas and verified the practicality of these algorithms by conducting computational experiments using implementations of local search and Variable Neighborhood Search heuristics. In these experiments, we compared the performance of these implementations by solving benchmark instances for the UBQP problem. The experimental results showed that the reevaluation formulas we created can provide relatively large reductions in processing times, even when the number of ip moves is moderately large.
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Носова, Я. В., and N. Shushliapina. "The possibilities for objective diagnostic of olfactory disturbance." Thesis, Center of educational literature, 2016. http://openarchive.nure.ua/handle/document/6381.
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It was first developed the method and the appropriate olfaktometry device on the rhinomanometry type of TNDA–PRH, that allow to evaluate quantitative indicators power characteristics of nasal breathing, on an evidence to determine the threshold level of feelings and recognition of odorous substances and diagnose the function of the human olfactory receptors.
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Scussel, Oscar. "Identificação não-paramétrica de sistemas mecânicos usando filtros de Kautz." Universidade Estadual do Oeste do Parana, 2013. http://tede.unioeste.br:8080/tede/handle/tede/1066.
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Previous issue date: 2013-03-04Impulse Response Functions (IRFs) are important in many engineering applications, mainly in structural dynamics and modal analysis involving experimental modal tests. These IRFs can be identified through several methods. Among these, the classical covariance method is one of the most used and it is based on the sum of convolution from the correlation functions between input and output signals known. However, this method is limited because it employs a large number of samples and has drawbacks related to over parametrization. In this sense, this work presentes and review the covariance method expanded in the ortonormal basis Kautz functions, because this alternative way allows to avoid these drawbacks. In order to ilustrate the procedure an algorithm with multiple objective functions to obtain the optimal poles of the Kautz filter is shown. The results are provided through three degree-of-freedom mechanical system simulated and experimental data in a beam to show the advantages, drawbacks, simplicity and efficiency of the proposed approach.
As funções de resposta ao impulso (IRFs) exercem papel de destaque na identificação de sistemas reais quando têm-se o conhecimento dos dados de entrada/saída do sistema. Essas IRFs são relevantes em muitas aplicações de Engenharia, especialmente em análise modal experimental de estruturas. Dentre os métodos para obtenção dessas IRFs, destaca-se o clássico método das covariâncias baseado na soma de convolução das funções de correlação entre os sinais de entrada e saída conhecidos. No entanto, esse método é limitado quando são coletadas muitas amostras e possui algumas desvantagens como efeitos de sobreparametrização. Neste sentido, este trabalho apresenta e revisa o método das covariâncias expandido na base ortonormal de Kautz para aplicações em identificação de sistemas mecânicos, pois essa forma alternativa permite evitar esses efeitos de sobreparametrização. Para obter os pólos ótimos dos filtros de Kautz, emprega-se um algoritmo multi-objetivo. Os resultados são verificados através de um sistema mecânico com três graus de liberdade e em dados experimentais a partir de uma viga na condição livre-livre no qual verificam-se as vantagens, desvantagens, simplicidade e eficiência do método proposto.
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Keller, Annette. "Objective function based fuzzy clustering in air traffic management." [S.l. : s.n.], 2002. http://deposit.ddb.de/cgi-bin/dokserv?idn=966543262.
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Oliveira, Diogo. "Multi-Objective Resource Provisioning in Network Function Virtualization Infrastructures." Scholar Commons, 2018. http://scholarcommons.usf.edu/etd/7206.
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Network function virtualization (NFV) and software-dened networking (SDN) are two recent networking paradigms that strive to increase manageability, scalability, pro- grammability and dynamism. The former decouples network functions and hosting devices, while the latter decouples the data and control planes. As more and more service providers adopt these new paradigms, there is a growing need to address multi-failure conditions, particularly those arising from large-scale disaster events. Overall, addressing the virtual network function (VNF) placement and routing problem is crucial to deploy NFV surviv- ability. In particular, many studies have inspected non-survivable VNF provisioning, however no known work have proposed survivable/resilient solutions for multi-failure scenarios. In light of the above, this work proposes and deploys a survivable multi-objective provisioning solution for NFV infrastructures. Overall, this study initially proposes multi- objective solutions to eciently solve the VNF mapping/placement and routing problem. In particular, a integer linear programming (ILP) optimization and a greedy heuristic meth- ods try to maximize the requests acceptance rate while minimizing costs and implementing trac engineering (TE) load-balancing. Next, these schemes are expanded to perform \risk- aware" virtual function mapping and trac routing in order to improve the reliability of user services. Furthermore, additionally to the ILP optimization and greedy heuristic schemes, a metaheuristic genetic algorithm (GA) is also introduced, which is more suitable for large- scale networks. Overall, these solutions are then tested in idealistic and realistic stressor scenarios in order to evaluate their performance, accuracy and reliability.
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Yuan, Xiaoyan. "Multi-Functional Reconfigurable Antenna Development by Multi-Objective Optimization." DigitalCommons@USU, 2012. https://digitalcommons.usu.edu/etd/1326.
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This dissertation work builds upon the theoretical and experimental studies of radio frequency micro- and nano-electromechanical systems (RF M/NEMS) integrated multifunctional reconfigurable antennas (MRAs). This work focuses on three MRAs with an emphasis on a wireless local area network (WLAN), 5-6 GHz, beam tilt, and polarization reconfigurable parasitic layer-based MRA with inset micro-strip feed. The other two antennas are an X band (8-12 GHz) beam steering MRA with aperture-coupled micro-strip fed and wireless personal area network (WPAN), 60 GHz, inset micro-strip fed MRA for dual frequency and dual polarization operations. For the WLAN (5-6 GHz) MRA, a detailed description of the design methodology, which is based on the joint utilization of electromagnetic (EM) full-wave analysis and multi-objective genetic algorithm, and fundamental theoretical background of parasitic layer-based antennas are given. Various prototypes of this MRA have been fabricated and measured. The measured and simulated results for both impedance and radiation characteristics are given. The work on the MRAs operating in the X band and 60 GHz region focuses on the theoretical aspects of the designs. Different than the WLAN MRA, which uses inset fed structure, the aperture-coupled feed mechanism has been investigated with the goal of improving the bandwidth and beam-tilt capabilities of these MRAs. The simulated results are provided and the working mechanisms are described. The results show that the aperture-coupled feed mechanism is advantageous both in terms of enhanced bandwidth and beam-steering capabilities. Finally, this dissertation work concludes with plans for future work, which will build upon the findings and the results presented herein.
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Gilgeous, V. G. "Functional objectives and acceptance in aggregate planning." Thesis, University of Lincoln, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.355852.
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Soeffker, Ninja. "The Use of Probabilistic Risk Functions and Linear Penalty Functions for Hospital Evacuation Planning." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/50918.
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In Bish et al. (2014), two approaches for the generation of hospital evacuation transportation plans were proposed: the minimization of the overall risk and the minimization of the evacuation duration. The resulting evacuation plans differ in terms of overall risk and duration, but also in the evacuation order of patients with different characteristics, the filling of hospital beds, and the assignments of the patients to the various vehicle types.
Due to the computational effort of the duration minimization, manipulations of the risk functions for the risk minimization approach were searched in this thesis such that the resulting evacuation plans approach the minimal duration without rules for the assignments of patients to vehicle types. It is possible to create risk functions such that the resulting plans have shorter durations than with the basic risk functions, but the overall risk increases and other properties of the plans change.
Furthermore, a new objective function was introduced in this thesis that minimizes an overall penalty function, where penalties are incurred for time intervals in which patients are at the evacuating hospital or being transported. The characteristics of the patients are considered by different weights in the penalty function. For the given problem instance, it is possible to choose penalty factors such that the overall risk is close to the minimal risk or to choose them such that the duration decreases. It is a simple approach with run times that are comparable to the risk minimization approach for the given problem instance.Master of Science
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Morier, Rita. "Dynamic joint mechanics as an objective clinical measure of ankle function." Thesis, McGill University, 1988. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=61268.
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The purpose of the work contained in this thesis was to investigate whether experimental paradigms based on the system identification approach are an effective clinical assessment tool. This was accomplished by conducting two companion studies: a reliability study on a group of fifteen control subjects and a case study of an individual who had sustained a unilateral undisplaced ankle fracture. The data collected in both studies included ankle angular position, torque, and Tibialis Anterior and Triceps Surae electromyograms. From these data, measures of both static (e.g. range of motion) and dynamic (e.g. estimated elastic stiffness) joint function, were obtained.A number of clinically relevant variables (plantarflexion MVC, dorsiflexion MVC, range of motion, passive torque, K offset, low K region, and the intercept of the K-absolute torque relation) were shown to be reliable. In addition, the results of the case study demonstrated that it would be feasible to use these experimental procedures and analytic methods on individuals who have sustained orthopedic trauma. Finally, certain variables (the K offset, the slope and intercept of the K-torque relation, and a low stiffness region) appeared to be sensitive to the clinical changes associated with orthopedic pathology.
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Murty, George Edward. "Quantitative objective measurement of vocal cord function : tussometry and combined glottography." Thesis, University of Newcastle Upon Tyne, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.308740.
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Zarei, Kasra. "Objective quantification of sensory function using a battery of smartphone applications." Thesis, University of Iowa, 2017. https://ir.uiowa.edu/etd/5688.
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Sensory deficits represent a major global public health problem. According to the World Health Organization, vision impairment affects an estimated 300 million people worldwide, and hearing impairment affects an estimated 360 million people worldwide. Consistent clinical evaluations for all individuals with sensory deficits cannot be practically realized due to the rising costs of healthcare, capital and labor limitations, and inaccessibility to healthcare due to a multitude of factors including proximity. The high prevalence of visual and hearing deficits can be lessened through consistent, comprehensive, at-home testing which can allow a larger amount of the affected and at-risk populations to be screened for abnormal function earlier and prior to permanent loss, and provide a wealth of patient-specific data that can be used to understand the time-scale of diseases and monitor the effectiveness of clinical interventions in unprecedented detail. While health-oriented smartphone applications exhibit a strong presence on the app stores, these applications are seldom vetted by expert scientists, engineers, and clinicians, and there are considerable opportunities for methodological improvements. The present work discusses the creation, calibration, and proof-of-concept, preliminary validation of a suite of psychophysical tests implemented as smartphone applications that can be utilized to rapidly and objectively quantify several functional sensory behaviors including flicker sensitivity, contrast sensitivity, visual acuity, and hearing-in-noise. Rigorous steps were undertaken to perform the necessary calibrations (a feat not routinely achieved by the creators of existing medical smartphone applications), and ensure the technical validity of the varying stimuli presented. Preliminary tests in the clinic have documented the potential of these tests to objectively provide numerous quantifications of, but not limited to, individual visual and hearing function, and variation between normal and abnormal subjects and function. The foundation laid by this work allows novel psychophysical tests to rapidly be implemented, vetted, and added to this battery of publicly and universally accessible medical smartphone applications.
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Vieux, Machelle Ann. "Developing an objective function and cost equations for ex situ treatment technologies." Thesis, Springfield, Va. : Available from National Technical Information Service, 1999. http://handle.dtic.mil/100.2/ADA372206.
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Uwatoko, Teruhisa. "Insular Gray Matter Volume and Objective Quality of Life in Schizophrenia." Kyoto University, 2019. http://hdl.handle.net/2433/242345.
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Chepeha, Judith Carol. "Objective functional shoulder testing in individuals with atraumatic anterior shoulder instability." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/mq22584.pdf.
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Selek, I. (István). "Novel evolutionary methods in engineering optimization—towards robustness and efficiency." Doctoral thesis, University of Oulu, 2009. http://urn.fi/urn:isbn:9789514291579.
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Abstract
In industry there is a high demand for algorithms that can efficiently solve search problems. Evolutionary Computing (EC) belonging to a class of heuristics are proven to be well suited to solve search problems, especially optimization tasks. They arrived at that location because of their flexibility, scalability and robustness. However, despite their advantages and increasing popularity, there are numerous opened questions in this research area, many of them related to the design and tuning of the algorithms.
A neutral technique called Pseudo Redundancy and related concepts such as Updated Objective Grid (UOG) is proposed to tackle the mentioned problem making an evolutionary approach more suitable for ''real world'' applications while increasing its robustness and efficiency. The proposed UOG technique achieves neutral search by objective function transformation(s) resulting several advantageous features. (a) Simplifies the design of an evolutionary solver by giving population sizing principles and directions to choose the right selection operator. (b) The technique of updated objective grid is adaptive without introducing additional parameters, therefore no parameter tuning required for UOG to adjust it for different environments, introducing robustness. (c) The algorithm of UOG is simple and computationally cheap. (d) It boosts the performance of an evolutionary algorithm on high dimensional (constrained and unconstrained) problems.
The theoretical and experimental results from artificial test problems included in this thesis clearly show the potential of the proposed technique. In order to demonstrate the power of the introduced methods under "real" circumstances, the author additionally designed EAs and performed experiments on two industrial optimization tasks. Although, only one project is detailed in this thesis while the other is referred.
As the main outcome of this thesis, the author provided an evolutionary method to compute (optimal) daily water pump schedules for the water distribution network of Sopron, Hungary. The algorithm is currently working in industry.
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Kahn, Kenneth B. "Functional strategic objectives over product and process life cycles." Thesis, Virginia Tech, 1989. http://hdl.handle.net/10919/43089.
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This thesis is an initial attempt at analyzing the
"product-process matrix," a framework suggesting the
interaction of product and process life cycles. The
objectives of this thesis were to test the theory
surrounding the "product-process matrix" and also test
theories concerning the transition of strategic objectives
between "product-process matrix" regions. The methodology
included conducting a survey of Virginia manufacturing firms
on strategic concerns, constructing a database into which
survey responses were loaded, and analyzing survey
responses.
Results of this survey suggested that the theory
surrounding the "product-process matrix" may be
inappropriate. Results also indicated the possibility that
row and column descriptions of the current "product-process
matrix" may need alterations in order to be more applicable
to manufacturing firms. Further research is necessary to
examine possible biases associated with the survey
instrument and survey sample. After such research has been
undertaken, it is recommended that continued work in this
area may help to improve understanding the interaction
between markets and manufacturing processes.
Master of Science
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Tate, Jennifer Noelle. "PARAMETER ESTIMATION IN TIDALLY INFLUENCED NUMERICAL MODELS - DETERMINATION OF AN APPROPRIATE OBJECTIVE FUNCTION." MSSTATE, 2008. http://sun.library.msstate.edu/ETD-db/theses/available/etd-06252008-082239/.
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The research detailed in this study focuses on the determination of an appropriate objective function to aid parameter estimation when simulating areas influenced by tidally varying flows. Three objective functions that are measures of how well the model results match field data at several locations and times were tested. A set of test cases is developed to represent tidally influenced systems and allow for the testing of the objective functions. These objective functions were tested by computing their values and comparing them for the various estimated parameters. Based on results of the first method of testing a further analysis was performed using PEST, an automatic parameter estimation tool. A weighted least squares of the velocity and water surface values with a weight function on the velocity term based on the shallow water equations is found to be a reasonable objective function at this point in the research.
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Sham, Edwin O. H. "Inverse treatment planning by simulated annealing optimization of a dose-volume objective function." Thesis, McGill University, 2001. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=33837.
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An algorithm for optimization of numerous modulated beam weights has been developed. This algorithm employs a penalty function theorem and a simulated annealing (SA) routine to model a large-scale constrained optimization problem incorporating dose and dose volume constraints in reflecting the goal of inverse treatment planning by sparing sufficient healthy tissues while delivering a necessary tumorcidal dose. The convergence property of the dose-volume SA algorithm is investigated for validation. Its performance is also evaluated by comparing the algorithm with a gradient technique minimizing the same dose-volume objective function that incorporates the target dose objectives and organ dose-volume constraints by the penalty functions. The comparison shows that the objective function exhibits a global valley in which multiple local minima with similar outcomes in terms of the function values, the dose-volume histograms, and the dose distributions exist. Thus, the gradient algorithm is preferred for this optimization approach due to its fast efficiency.
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Brogan, Paul Vincent. "PMU based multi-objective optimisation function for wide-area monitoring protection and control." Thesis, Queen's University Belfast, 2016. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.705648.
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This thesis describes and computationally tests a method of using PMU data to generate an optimisation metric that accurately reflects the desirability of a given power system's operating conditions. The optimisation function takes into consideration the voltage profile across the network, reactive power flow, transmission losses and line loading. The optimisation function was investigated as a wide-area control variable for on load tap changing transformers and switched shunt capacitors. Networks whose control assets were optimised with this wide-area optimisation metric were found to be able to handle a greater load and distributed generation before acceptable operating conditions were infringed. The wide-area controlled networks, that were modelled in PSSE, were also found to have a consistently higher efficiency, a better voltage profile and to be more resilient against voltage instability. The initial testing of the optimisation method assumed complete observation of the network in question. The investigation continues to demonstrate how a regression method could be used to extrapolate the global optimisation metric from a limited number of PMU placements on the system. A parsimonious multivariate linear regression method is developed that suggests the best PMU placements and quantifies the degree of error that might result from the reduced visibility. The optimisation function is intended as a method of reducing a profusion of PMU data down to a single simple metric. The optimisation metric can be quickly interpreted by a network operator, its variation used to inform the operation of assets or the desirability of specific asset operation. The metric could easily be transported over legacy SCADA systems, given its small size and the lack of reliance on a reporting rate. The intention of this work is facilitate a power system that can operate more efficiently, handle more distributed generation and provide a better service.
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Tate, Jennifer N. "Parameter estimation in tidally influenced numerical models determination of an appropriate objective function /." Master's thesis, Mississippi State : Mississippi State University, 2008. http://library.msstate.edu/etd/show.asp?etd=etd-06252008-082239.
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