Relevant bibliographies by topics / Single objective

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Single objective'

Author: Grafiati
Published: 5 June 2025
Last updated: 8 July 2025

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Journal articles on the topic "Single objective"

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Jensen, Mikkel T. "Helper-objectives: Using multi-objective evolutionary algorithms for single-objective optimisation." Journal of Mathematical Modelling and Algorithms 3, no. 4 (2005): 323–47. http://dx.doi.org/10.1007/s10852-005-2582-2.

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Jensen, Mikkel T. "Helper-Objectives: Using Multi-Objective Evolutionary Algorithms for Single-Objective Optimisation." Journal of Mathematical Modelling and Algorithms 3, no. 4 (2004): 323–47. http://dx.doi.org/10.1023/b:jmma.0000049378.57591.c6.

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COELLO, CARLOS A. COELLO. "TREATING CONSTRAINTS AS OBJECTIVES FOR SINGLE-OBJECTIVE EVOLUTIONARY OPTIMIZATION." Engineering Optimization 32, no. 3 (2000): 275–308. http://dx.doi.org/10.1080/03052150008941301.

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M, Avinasi C., and Balamurugan Balamurugan. "An Optimization of AWJM Process by Using Single Objective Function." International Journal of Research Publication and Reviews 5, no. 3 (2024): 1097–101. http://dx.doi.org/10.55248/gengpi.5.0324.0648.

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Jabs, Christoph, Jeremias Berg, Andreas Niskanen, and Matti Järvisalo. "From Single-Objective to Bi-Objective Maximum Satisfiability Solving." Journal of Artificial Intelligence Research 80 (August 2, 2024): 1223–69. http://dx.doi.org/10.1613/jair.1.15333.

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The declarative approach is key to efficiently finding optimal solutions to various types of NP-hard real-world combinatorial optimization problems. Most work on practical declarative solvers—ranging from classical integer programming to finite-domain constraint optimization and maximum satisfiability (MaxSAT)—has focused on optimization under a single objective; fewer advances have been made towards efficient declarative techniques for multi-objective optimization problems. Motivated by significant recent advances in practical solvers for MaxSAT, in this work we develop BiOptSat, an exact declarative approach for finding Pareto-optimal solutions to bi-objective optimization problems, with propositional logic as the underlying constraint language. BiOptSat can be viewed as an instantiation of the lexicographic method. The approach makes use of a single Boolean satisfiability solver that is incrementally employed throughout the entire search procedure, allowing for finding a single Pareto-optimal solution, finding one representative solution for each non-dominated point, and enumerating all Pareto-optimal solutions. We detail several algorithmic instantiations of BiOptSat, each building on recent algorithms proposed for single-objective MaxSAT. We empirically evaluate the instantiations compared to recently-proposed alternative approaches to multi-objective MaxSAT solving on several real-world domains from the literature, showing the practical benefits of our approach.
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Jiao, Ruwang, Sanyou Zeng, Jawdat S. Alkasassbeh, and Changhe Li. "Dynamic multi-objective evolutionary algorithms for single-objective optimization." Applied Soft Computing 61 (December 2017): 793–805. http://dx.doi.org/10.1016/j.asoc.2017.08.030.

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Segura, Carlos, Carlos A. Coello Coello, Gara Miranda, and Coromoto León. "Using multi-objective evolutionary algorithms for single-objective optimization." 4OR 11, no. 3 (2013): 201–28. http://dx.doi.org/10.1007/s10288-013-0248-x.

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Strack, Rita. "Single-objective light sheet microscopy." Nature Methods 18, no. 1 (2021): 28. http://dx.doi.org/10.1038/s41592-020-01027-w.

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Doerr, Benjamin, and Weijie Zheng. "Theoretical Analyses of Multi-Objective Evolutionary Algorithms on Multi-Modal Objectives." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 14 (2021): 12293–301. http://dx.doi.org/10.1609/aaai.v35i14.17459.

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Previous theory work on multi-objective evolutionary algorithms considers mostly easy problems that are composed of unimodal objectives. This paper takes a first step towards a deeper understanding of how evolutionary algorithms solve multi-modal multi-objective problems. We propose the OneJumpZeroJump problem, a bi-objective problem whose single objectives are isomorphic to the classic jump functions benchmark. We prove that the simple evolutionary multi-objective optimizer (SEMO) cannot compute the full Pareto front. In contrast, for all problem sizes n and all jump sizes k in [4..n/2-1], the global SEMO (GSEMO) covers the Pareto front in Θ((n-2k)n^k) iterations in expectation. To improve the performance, we combine the GSEMO with two approaches, a heavy-tailed mutation operator and a stagnation detection strategy, that showed advantages in single-objective multi-modal problems. Runtime improvements of asymptotic order at least k^Ω(k) are shown for both strategies. Our experiments verify the substantial runtime gains already for moderate problem sizes. Overall, these results show that the ideas recently developed for single-objective evolutionary algorithms can be effectively employed also in multi-objective optimization.
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Mladineo, Marko, Ivica Veža, and Nikola Gjeldum. "Single-objective and multi-objective optimization using the HUMANT algorithm." Croatian Operational Research Review 6, no. 2 (2015): 459–73. http://dx.doi.org/10.17535/crorr.2015.0035.

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Dissertations / Theses on the topic "Single objective"

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Lidberg, Simon. "Evolving Cuckoo Search : From single-objective to multi-objective." Thesis, Högskolan i Skövde, Institutionen för teknik och samhälle, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-5309.

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This thesis aims to produce a novel multi-objective algorithm that is based on Cuckoo Search by Dr. Xin-She Yang. Cuckoo Search is a promising nature-inspired meta-heuristic optimization algorithm, which currently is only able to solve single-objective optimization problems. After an introduction, a number of theoretical points are presented as a basis for the decision of which algorithms to hybridize Cuckoo Search with. These are then reviewed in detail and verified against current benchmark algorithms to evaluate their efficiency. To test the proposed algorithm in a new setting, a real-world combinatorial problem is used. The proposed algorithm is then used as an optimization engine for a simulation-based system and compared against a current implementation.
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Gorski, Jochen [Verfasser]. "Multiple Objective Optimization and Implications for Single Objective Optimization / Jochen Gorski." Aachen : Shaker, 2010. http://d-nb.info/1084536323/34.

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Tsang, Wai-pong Wilburn, and 曾瑋邦. "Bio-inspired algorithms for single and multi-objective optimization." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B42182104.

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Tsang, Wai-pong Wilburn. "Bio-inspired algorithms for single and multi-objective optimization." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B42182104.

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Copado, Méndez Pedro Jesús. "Contribution to the development of efficient algorithms for solving complex single-objective and multi-objective optimization models." Doctoral thesis, Universitat Rovira i Virgili, 2014. http://hdl.handle.net/10803/284089.

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L’optimització en enginyeria de processos és un àrea molt estesa que ha anat evolucionant al llarg del temps i ha passat de ser una metodologia d'interès purament acadèmic a una tecnologia que té, i que contínua tenint, gran impacte en la indústria. En aquesta tesi ens hem centrat en el desenvolupament mètodes basats en dues eines típiques d'optimització: programació matemàtica i metaheurístiques. Els objectius d'aquesta tesi són: el primer és desenvolupar una metaheuristica híbrida per a l'optimització del disseny de cadenes de subministrament, d'un sol objectiu (cost o benefici), on tots els paràmetres són coneguts a priori; el segon és desenvolupar un algorisme efectiu per a reducció d'objectius facilitant la resolució de problemes multi-objectiu; i finalment s'han implementat una sèrie de millores en el mètode de la restricció èpsilon per millorar l'eficiència en la resolució de problemes multi-objectiu. Tots els algorismes presentats han estat comparats i avaluats amb els mètodes establerts per la literatura.<br>La optimización en ingeniería de procesos es un área muy extensa que ha ido evolucionando a lo largo del tiempo y ha pasado de ser una metodología de interés puramente académico a una tecnología que tiene, y que continua teniendo, gran impacto en la industria. En esta tesis nos hemos centrado en el desarrollo de métodos basados en dos herramientas típicas de optimización: programación matemática y metaheurísticas. Los objetivos de esta tesis son: el primero es desarrollar una metaheuristica híbrida para la optimización del diseño de cadenas de suministro, de un solo objetivo (coste o beneficio), donde todos los parámetros son conocidos a priori; el segundo es desarrollar un algoritmo efectivo para la reducción de objetivos facilitando la resolución de problemas multi-objetivo; y finalmente se han implementado una serie de mejoras en el método de la restricción epsilon para mejorar la eficiencia en la resolución de problemas multi-objetivo. Todos los algoritmos presentados han sido comparados y evaluados con los métodos establecidos por la literatura.<br>Optimization has become a major area in process systems engineering. It has evolved from a methodology of academic interest into a technology that has and continues to make significant impact in industry. In this thesis we have focused on development of tools based on two standard optimization methods: mathematical programming and metaheuristics. The objectives of this thesis are: firstly, the development of a hybrid metaheuristic for optimizing the design of supply chains, single objective (cost or benefit), where all parameters are known previously; secondly, the development of an effective algorithm for objective reduction facilitating the resolution of multi-objective problems; and finally, we improved the epsilon-constraint algorithm in multi-objective optimization. All the algorithms presented have been assessed with the methods established in the literature.
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Sattar, Abdul. "Face analysis by using hybrid single objective and hybrid multiple objective optimizations in 2. 5D active appearance model." Rennes 1, 2010. http://www.theses.fr/2010REN1S021.

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L'équipe SCEE de Supélec travaille dans le domaine de la radio logicielle et intelligente, encore appelée Radio Cognitive (CR - Cognitive Radio). Dans cette thèse, nous avons présenté une solution pour l'analyse de visage temps réel dans un équipement de radio cognitive. Dans ce cadre particulier, nous proposons des solutions d'analyse de visage, à savoir «l'estimation de la pose et des caractéristiques faciale d'un visage inconnu orienté ». Nous proposons deux systèmes d'alignement de visages. 1) Le premier exploite un AAM 2. 5D et une seule caméra. La phase d'optimisation de cet AAM est hybride: elle mixe un algorithme génétique et une descente de gradient. Notre contribution tient dans l'opérateur de descente de gradient qui travaille de concert avec l'opérateur classique de mutation : de cette manière sa présence ne pénalise pas la vitesse d'exécution du système. 2) Le second met en œuvre un AAM 2. 5D mais exploite plusieurs caméras. La recherche de la meilleure solution découle également d'une approche hybride qui mixe une optimisation multi-objectifs : le NSGA-II, avec une descente de gradient. Notre contribution tient dans la proposition d'une méthode efficace pour extraire des informations concernant la pertinence de chacune des vues, ces informations sont ensuite exploitées par la descente de gradient. Des comparaisons quantitatives et qualitatives avec d'autres approches mono et multi-objectifs montrent l'intérêt de notre méthode lorsqu'il s'agit d'évaluer la pose et les traits caractéristiques d'un visage inconnu<br>In this study we are interested in the pose estimation and precise localization of face features such as the eyes, the nose and the mouth of an out-of-plane rotated unknown face. Main application of this thesis work is in the Cognitive Radio equipments. We place ourselves within the framework of a low quality acquisition with camera(s) installed on Cognitive Radio equipments e. G. Mobile phone, laptop, desktop computers etc. The face pose and localization of facial features in an unconstrained environment are the major problems for CR equipment. All of its subsequent face related applications (e. G. Face recognition, face synthesis, face data compression etc. ) highly depend upon the methods used for the facial analysis system. In order to extract face features, we use the Active Appearance Models (AAM), deformable models allowing shape and texture to be jointly synthesized. We initially propose a new 2. 5D AAM, based on 3D model, which makes it possible to perform pose estimation and features localization of an oriented face. Secondly, we propose a new optimization methodology for the face search by AAM, in a single camera system, by the hybridization of deterministic and direct search method which has never been used and tested before. Our method hybridizes Gradient Descent (GD) inside the Genetic Algorithm (GA) in a unique way. Along with other operators of GA we propose gradient operator which works in conjunction with the mutation operator of GA thus it does not make the system computationally expensive. Finally for a complete facial analysis system by multiple cameras, we proposed a new concept of multi-objective AAM. In this method, facial images from multiple cameras are analyzed simultaneously by 2. 5D AAM. For the face search optimization we propose a unique way of hybridizing GD with NSGA-II (Non-dominating Search Genetic Algorithm-II). Both of our propositions are robust, real time, efficient and extract facial features even in unknown and out-of-plane rotated faces
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Amouzgar, Kaveh. "Multi-objective optimization using Genetic Algorithms." Thesis, Högskolan i Jönköping, Tekniska Högskolan, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-19851.

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In this thesis, the basic principles and concepts of single and multi-objective Genetic Algorithms (GA) are reviewed. Two algorithms, one for single objective and the other for multi-objective problems, which are believed to be more efficient are described in details. The algorithms are coded with MATLAB and applied on several test functions. The results are compared with the existing solutions in literatures and shows promising results. Obtained pareto-fronts are exactly similar to the true pareto-fronts with a good spread of solution throughout the optimal region. Constraint handling techniques are studied and applied in the two algorithms. Constrained benchmarks are optimized and the outcomes show the ability of algorithm in maintaining solutions in the entire pareto-optimal region. In the end, a hybrid method based on the combination of the two algorithms is introduced and the performance is discussed. It is concluded that no significant strength is observed within the approach and more research is required on this topic. For further investigation on the performance of the proposed techniques, implementation on real-world engineering applications are recommended.
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Ebadi, Nasim. "Estimating Costs of Reducing Environmental Emissions From a Dairy Farm: Multi-objective epsilon-constraint Optimization Versus Single Objective Constrained Optimization." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/99304.

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Agricultural production is an important source of environmental emissions. While water quality concerns related to animal agriculture have been studied extensively, air quality issues have become an increasing concern. Due to the transfer of nutrients between air, water, and soil, emissions to air can harm water quality. We conduct a multi-objective optimization analysis for a representative dairy farm with two different approaches: nonlinear programming (NLP) and ϵ-constraint optimization to evaluate trade-offs among reduction of multiple pollutants including nitrogen (N), phosphorus (P), greenhouse gas (GHG), and ammonia. We evaluated twenty-six different scenar- ios in which we define incremental reductions of N, P, ammonia, and GHG from five to 25% relative to a baseline scenario. The farm entails crop production, livestock production (dairy and broiler), and manure management activities. Results from NLP optimization indicate that reducing P and ammonia emissions is relatively more expen- sive than N and GHG. This result is also confirmed by the ϵ-constraint optimization. However, the latter approach provides limited evidence of trade-offs among reduction of farm pollutants and net returns, while the former approach includes different re- duction scenarios that make trade-offs more evident. Results from both approaches indicate changes in crop rotation and land retirement are the best strategies to reduce N and P emissions while cow diet changes involving less forage represents the best strategy to reduce ammonia and GHG emissions.<br>Master of Science<br>Human activities often damage and deplete the environment. For instance, nutrient pollution into air and water, which mostly comes from agricultural and industrial activ- ities, results in water quality degradation. Thus, mitigating the detrimental impacts of human activities is an important step toward environmental sustainability. Reducing environmental impacts of nutrient pollution from agriculture is a complicated problem, which needs a comprehensive understanding of types of pollution and their reduction strategies. Reduction strategies need to be both feasible and financially viable. Con- sequently, practices must be carefully selected to allow farmers to maximize their net return while reducing pollution levels to reach a satisfactory level. Thus, this paper conducts a study to evaluate the trade-offs associated with farm net return and re- ducing the most important pollutants generated by agricultural activities. The results of this study show that reducing N and GHG emissions from a representative dairy farm is less costly than reducing P and ammonia emissions, respectively. In addition, reducing one pollutant may result in reduction of other pollutants. In general, for N and P emissions reduction land retirement and varying crop rotations are the most effective strategies. However, for reducing ammonia and GHG emissions focusing on cow diet changes involving less forage is the most effective strategy.
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Chowdhury, Souma. "Modified predator-prey (MPP) algorithm for single-and multi-objective optimization problems." FIU Digital Commons, 2008. http://digitalcommons.fiu.edu/etd/2352.

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The aim of this work is to develop an algorithm that can solve multidisciplinary design optimization problems. In predator-prey algorithm, a relatively small number of predators and a much larger number of prey are randomly placed on a two dimensional lattice with connected ends. The predators are partially or completely biased towards one or more objectives, based on which each predator kills the weakest prey in its neighborhood. A stronger prey created through evolution replaces this prey. In case of constrained problems, the sum o f constraint violations serves as an additional objective. Modifications of the basic predator-prey algorithm have been implemented in this study regarding the selection procedure, apparent movement of the predators, mutation strategy, dynamics of the Pareto convergence, etc. Further modifications have been made making the algorithm capable of handling equality and inequality constraints. The final modified algorithm is tested on standard constrained/unconstrained, single and multi-objective optimization problems.
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Bin, Hussin Mohamed Saifullah. "Stochastic local search algorithms for single and bi-objective quadratic assignment problems." Doctoral thesis, Universite Libre de Bruxelles, 2015. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/222286.

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The study of Stochastic Local Search (SLS) algorithms is becoming more pivotal these days, due to their vast number of applications in decision making. Prior to the implementation of algorithmic knowledge for decision making, many decisions were made based on manual calculation, on the fly, or even based on guts feeling. Nowadays, such an approach is more rarely seen, especially when the decisions that need to be made are high-risk, cost intensive, or time-consuming. The increasingly often used SLS algorithms are one of the options available to assist the decision making process these days.The work discussed in this thesis concerns the study of SLS algorithms for solving the Quadratic Assignment Problem (QAP), a prominent combinatorial optimization problem, which until today is very hard to solve. Our interest is to study the behavior and performance of SLS algorithms for solving QAP instances of different characteristics, such as size, sparsity, and structure. In this study, we have also proposed new variants of SLS algorithms, inspired by existing, well-performing SLS algorithms for solving the QAP. The new variants of SLS algorithms are then further extended for solving the bi-objective QAP (bQAP).One main focus in this study is to see how the performance of algorithms scales with instance size. We have considered instances that are much larger than the ones usually used in the studies of algorithms for solving the QAP. By understanding how the algorithms perform when the instance size changes, we might be able to solve other problems effectively by considering the similarity in their characteristics to the ones of the QAP, or by seeing common trends in the relative performance of the various available SLS methods. For single objective QAP instances we found that the structure and size of instances do have a significant impact on the performance of SLS algorithms. For example, comparisons between Tabu Search (TS) and Simulated Annealing (SA) on instances with randomly generated matrices show that the overall performance of TS is better than SA, irrespective the size of instances considered. The results on a class of structured instances however show that TS performs well on small-sized instances, while on the larger ones, SA shows better results. In another experiment, Hierarchical Iterated Local Search (HILS) has shown very good results compared to several Iterated Local Search (ILS) variants. This experiment was done on a class of structured instances of size from 100 to 500. An extensive experiment on a class of structured instances of size 30 to 300 using tuned parameter settings shows that population based algorithms perform very well on most of the instance classes considered. SA however, shows very good performance especially on large-sized instances with low sparsity level. For the bQAP, the correlation between the flow matrices does have a strong effect that determines the performance of algorithms for solving them. Hybrid Simulated Annealing (HSA) clearly outperforms Hybrid Iterative Improvement (HII). When compared to Multi Objective Ant Colony Optimization (MOACO) and Strength Pareto Evolutionary Algorithm 2 (SPEA2), HSA shows very good performance, where HSA outperforms MOACO and SPEA2, especially on instances of large size, thus, offering a better scaling behavior. Based the results obtained in this study, it is possible to come up with a general idea on the suitability of SLS algorithms for solving instances with a certain characteristic. Given an unknown QAP instance, one can guess the most suitable algorithm for solving it depending on the type, size, and sparsity of the instance, while for a bQAP instance the most suitable algorithm can be guessed based on its size and correlation between the flow matrices.<br>Doctorat en Sciences de l'ingénieur et technologie<br>info:eu-repo/semantics/nonPublished
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Books on the topic "Single objective"

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Partnership, Strathclyde European. Western Scotland single programming document: [objective 2]. Strathclyde European Partnership, 1995.

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Partnership, Strathclyde European. Western Scotland single programming document: [objective 2]. Strathclyde European Partnership, 1995.

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Council, Further Education Funding. Objective 3: Plan for a single programming document for 1997-1999. Further Education Funding Council, 1995.

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Council, Further Education Funding, ed. Objective 3: Plan for a single programming document for 1997-1999 : draft. FEFC, 1996.

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Commission of the European Communities. Directorate-General for Regional Policies. United Kingdom: Western Scotland : single programming document : 1994-1996 : objective 2. : 1994-1996. [Office for Official Publications of the European Communities], 1994.

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Commission of the European Communities. Directorate-General for Regional Policies. United Kingdom: Eastern Scotland : single programming document : 1994-1996 : objective 2. : 1994-1996. [Office for Official Publications of the European Communities], 1994.

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Commission of the European Communities., ed. Germany: Single programming document 1994-96 : objective 4: Facilitating the adaptation of workers to industrial change and to changes in production systems. Office for Official Publications of the European Communities, 1996.

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Commission of the European Communities., ed. France: Single programming document 1994-96 : objective 4: Facilitating the adaptation of workers to industrial change and to changes in production systems. Office for Official Publications of the European Communities, 1996.

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Commission of the European Communities., ed. Great Britain: Single programming document 1998-99 : objective 4 : facilitating the adaptation of workers to industrial change and to changes in production systems. Office for Official Publications of the European Communities, 1998.

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1947-, Hobson Sarah, Mee Laurence David, and Morgan Sally, eds. Religion, science and the environment: Symposium II : the Black Sea in crisis : an encounter of beliefs, a single objective, 20-28 September 1997. World Scientific, 1998.

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Book chapters on the topic "Single objective"

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Inghels, Dirk. "Single Objective Optimization." In Introduction to Modeling Sustainable Development in Business Processes. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58422-1_2.

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Eiselt, H. A., Vladimir Marianov, and Joyendu Bhadury. "Single-Objective Optimization." In International Series in Operations Research & Management Science. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-23876-5_2.

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Pires, E. J. Solteiro, Luís Mendes, António M. Lopes, P. B. de Moura Oliveira, and J. A. Tenreiro Machado. "Single-Objective Spreading Algorithm." In Intelligent Systems, Control and Automation: Science and Engineering. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4722-7_13.

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Chakraborti, Nirupam. "Single-Objective Evolutionary Algorithms." In Data-Driven Evolutionary Modeling in Materials Technology. CRC Press, 2022. http://dx.doi.org/10.1201/9781003201045-4.

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Roe, Michael, Wei Xu, and Dongping Song. "Single Objective and Multiple Objective Genetic Algorithms." In Optimizing Supply Chain Performance. Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137501158_7.

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Jensen, Mikkel T. "Guiding Single-Objective Optimization Using Multi-objective Methods." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36605-9_25.

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Yang, Dongying, Honghui Wang, Sirong Yi, and Qing He. "Single-Level Optimization of Metro Alignment with Single-Objective." In Lecture Notes in Intelligent Transportation and Infrastructure. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-80561-5_4.

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Munier, Nolberto. "Linear Programming for a Single Objective." In A Strategy for Using Multicriteria Analysis in Decision-Making. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1512-7_4.

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Periaux, Jacques, Felipe Gonzalez, and Dong Seop Chris Lee. "Single Objective Model Test Case Problems." In Intelligent Systems, Control and Automation: Science and Engineering. Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-9520-3_7.

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Mirjalili, Seyedali. "Introduction to Evolutionary Single-Objective Optimisation." In Studies in Computational Intelligence. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93025-1_1.

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Conference papers on the topic "Single objective"

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Zhang, Xiaoyi, Yan Pei, and Huiyan Jiang. "Optimization Performance Analysis of Different Initialization Methods in Single-Objective and Multi-Objective Chaotic Evolution." In 2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS). IEEE, 2024. https://doi.org/10.1109/scisisis61014.2024.10760237.

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Avvari, Ravi Kumar. "Single-Objective Optimal Power Flow Using Artificial Hummingbird Algorithm." In 2024 3rd Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology (ODICON). IEEE, 2024. https://doi.org/10.1109/odicon62106.2024.10797583.

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Solteiro Pires, E. J., Luís Mendes, P. B. de Moura Oliveira, et al. "Single-objective front optimization." In the 10th annual conference. ACM Press, 2008. http://dx.doi.org/10.1145/1389095.1389245.

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Tanaka, Shoichiro, Keiki Takadama, and Hiroyuki Sato. "Impacts of Single-objective Landscapes on Multi-objective Optimization." In 2022 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2022. http://dx.doi.org/10.1109/cec55065.2022.9870226.

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Buchheister, Jan, and Christopher Weth. "Objective With Supressed Single Reflexes." In International Optical Design Conference. OSA, 2010. http://dx.doi.org/10.1364/iodc.2010.ithb8.

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Li, Yuting, Jianmin Su, and Xiaoxing Yang. "Multi-Objective vs. Single-Objective Approaches for Software Defect Prediction." In the 2018 2nd International Conference. ACM Press, 2018. http://dx.doi.org/10.1145/3180374.3181331.

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Baswana, Surender, Somenath Biswas, Benjamin Doerr, Tobias Friedrich, Piyush P. Kurur, and Frank Neumann. "Computing single source shortest paths using single-objective fitness." In the tenth ACM SIGEVO workshop. ACM Press, 2009. http://dx.doi.org/10.1145/1527125.1527134.

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Gullo, Francesco, Carlotta Domeniconi, and Andrea Tagarelli. "Enhancing Single-Objective Projective Clustering Ensembles." In 2010 IEEE 10th International Conference on Data Mining (ICDM). IEEE, 2010. http://dx.doi.org/10.1109/icdm.2010.138.

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Nguyen, Anh, Tommaso Urli, and Markus Wagner. "Single- and multi-objective genetic programming." In the twelfth workshop. ACM Press, 2013. http://dx.doi.org/10.1145/2460239.2460254.

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Chen, Linglin, Shuai Shao, Fei Gao, Luca Tarisciotti, Tomislav Dragicevic, and Patrick Wheeler. "Single Integration for Multi-objective Control." In 2020 IEEE 9th International Power Electronics and Motion Control Conference (IPEMC2020-ECCE Asia). IEEE, 2020. http://dx.doi.org/10.1109/ipemc-ecceasia48364.2020.9368108.

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Reports on the topic "Single objective"

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Mamani, Juan Alberto Mendieta, and Gino Hernan Vidalon Romo. RESISTANCE TO ROOT FRACTURE IN FIBERGLASS POSTS, ANATOMIZED POSTS AND CASTED POSTS IN SINGLE-ROUND TEETH. A SYSTEMATIC REVIEW. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.3.0111.

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Review question / Objective: What will be the resistance to root fracture in fiberglass posts vs. anatomical posts and cast posts in single-rooted single-canal teeth? Objective: To evaluate and compare the resistance to fracture in single-rooted teeth with endodontic treatment restored with different intra-radicular posts. Specific objectives: 1. Determine what factors influence fracture resistance in teeth restored with different intraradicular posts. 2. To determine the influence of the anatomization of the fiberglass post with composite resin, with respect to the resistance to fracture, in single-rooted teeth with a single canal. 3. Evaluate the failure pattern of the anatomization of the fiberglass post using composite resin.
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Brichart, Thomas, Mahmoud Ould Metidji, Mario Silva, Sissel Opsahl Viig, and Tor Bjørnstad. Lanthanide-Complexed Esters for Single-Well SOR Measurements. University of Stavanger, 2021. http://dx.doi.org/10.31265/usps.208.

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The main objective has been to improve the prevailing single-well chemical tracer push-and-pull technique, SWCTT, for measurement of residual oil saturation (SOR) in defined pay zones in a single well test [1,2,3] after water injection on the following subjects: • Improvement in tracer detection limits by a factor &gt; 1000 • On-site or even on-line detection of tracer signal in true time • Reduction in the needed amount of tracer by a factor of &gt; 1000 • Reduced footprint on production platforms during tracer operation The intended audience and technology users are oil and service companies.
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wang, hesong, chunyang song, wenzhao deng, xiaohan zhao, and wenbin shen. Evaluation of Neoadjuvant Immune Combined Therapy and Traditional Neoadjuvant Therapy for Resectable Esophageal Cancer: A Systematic Review and Single-arm and Network Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.12.0060.

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Review question / Objective: Population: Patients with histologically-confirmed resectable esophageal carcinoma; Intervention: Neoadjuvant immunotherapy combined with chemotherapy or neoadjuvant immunotherapy combined with chemoradiotherapy followed by surgery; Control: Neoadjuvant chemotherapy or neoadjuvant chemoradiotherapy followed by surgery; Outcomes: Treatment related adverse events, r0 resection rate, pathological complete response, major pathological response, objective response rate, disease control rate, postoperative complications, postoperative mortality, 1/2/3/5year overall survival, 1/2/3/5year disease free survival; Study Design: All prospective and restrospective studies.
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Li, Yanhui. The curative effect of laparoscopic single port and traditional laparoscopic treatment of uterine leiomyoma: meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.3.0071.

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Review question / Objective: Single-port laparoscopy has been proposed as an ideal surgical method for treating uterine leiomyoma, which can effectively remove the lesion, reduce hemoglobin loss, and achieve good cosmetic results. Therefore, we retrieved related studies for a meta-analysis to evaluate the effects of single-hole laparoscopic resection of uterine fibroids, haemoglobin loss, and scar cosmetic effect. Eligibility criteria: (1) the type of study should be a randomized controlled study; (2) the participants should be women receiving single-hole laparoscopic laparoscopy or conventional laparoscopy; (3) the type of intervention, which should compare single-hole laparoscopic laparoscopy with uterine leiomyoma, and excluding the study with conventional laparoscopy, and (4) regarding the type of outcome, the study should measure at least one outcome of interest mentioned below.
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Harris, Patel, and Vaze. PR-185-0351-R07 Welding Processes for Small to Medium Diameter Pipe - Productivity and Economic Analysis. Pipeline Research Council International, Inc. (PRCI), 2006. http://dx.doi.org/10.55274/r0011066.

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The project aimed to develop innovative welding processes and technologies for single-sided pipeline girth welding. Root pass welding techniques were emphasized since they have the greatest potential to improve pipeline integrity and facilitate the use of new and existing gas metal arc welding (GMAW) fill pass techniques. Advanced automation techniques were also used to improve weld quality, process control, and robustness. The objective of Task 7 was to examine the competing productivity and economic factors involved in selecting the appropriate technology for a particular pipeline project.
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Zhang, Hengdi, Yunming Li, Guangyu Chen, Fei Han, and Wei Jiang. Human amniotic membrane graft for refractory macular hole: a single-arm meta analysis and systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.2.0098.

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Review question / Objective: Currently, pars plana vitrectomy (PPV) with ILM peeling is the gold standard treatment for full thickness macular hole (FTMH). Despite of the high macular hole closure rate, a refractory FTMH may occur. The next step for a recurrent or persistent MH is usually repeat PPV with extended ILM peeling. This is not always an option especially with high myopia patients or those who had already undergone an aggressive ILM peeling at initial surgery. A variety of novel techniques have been developed to address this issue, among which human amniotic membrane seems to be a promising adjuvant. However, there are still uncertainties regarding the integration and the long-term effects of of the graft. Information sources: PubMed, Embase, Web of science, Cochrane library, Wanfang Data Knowledge Service Platform, China National Knowledge Infrastructure databases, sinomed (CBM), VIP database, Clinical Trails.gov and Chinese Clinical Trail Registry.
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López-Valverde, Nansi, Antonio López-Valverde, and Jose Antonio Blanco-Rueda. Efficacy of metronidazole on peri-implantitis: A systematic review and meta-analysis of randomized studies. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.1.0015.

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Review question / Objective: In patients with peri-implantitis, is adjuvant local or systemic treatment with metronidazole effective on signs of inflammation and bone destruction? Eligibility criteria: Inclusion criteria: a) RCTs (single or double-blind) performed in patients with peri-implantitis defined as bleeding and/or suppuration on peri-implant probing (≥ 4 mm).b) Studies comparing the efficacy of local/systemic metronidazole adjuvant therapy vs. single surgical or non-surgical treatmentc) Articles published in English.Exclusion criteria: a) Less than five patients per treatment group.b) Lack of clinical data on bone destruction.c) Case series or clinical casesd) Undefined cases and non-relevant studies.
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Light. L52011 Development of Fieldable Magnet and Digital MIVC Stress Measurement Techniques. Pipeline Research Council International, Inc. (PRCI), 2002. http://dx.doi.org/10.55274/r0010147.

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The objective of this project was to start the process of making the MIVC technique simple and cost effective for use in the field by reducing both the size of the required sensors and instrumentation and the calibration requirements. Three steps were taken to meet this objective: (1) design and build a small, lightweight magnetic circuit that can be handled by a single technician, (2) reduce the number and size of the instruments used to perform the MIVC measurements, and (3) investigate the variability of the MIVC calibration curves among different pipe grades and the feasibility of establishing a universal calibration curve or family of curves.
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Cobeen, Kelly, Vahid Mahdavifar, Tara Hutchinson, et al. Large-Component Seismic Testing for Existing and Retrofitted Single-Family Wood-Frame Dwellings (PEER-CEA Project). Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2020. http://dx.doi.org/10.55461/hxyx5257.

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This report is one of a series of reports documenting the methods and findings of a multi-year, multi-disciplinary project coordinated by the Pacific Earthquake Engineering Research Center (PEER and funded by the California Earthquake Authority (CEA). The overall project is titled “Quantifying the Performance of Retrofit of Cripple Walls and Sill Anchorage in Single-Family Wood-Frame Buildings,” henceforth referred to as the “PEER–CEA Project.” The overall objective of the PEER–CEA Project is to provide scientifically based information (e.g., testing, analysis, and resulting loss models) that measure and assess the effectiveness of seismic retrofit to reduce the risk of damage and associated losses (repair costs) of wood-frame houses with cripple wall and sill anchorage deficiencies as well as retrofitted conditions that address those deficiencies. Tasks that support and inform the loss-modeling effort are: (1) collecting and summarizing existing information and results of previous research on the performance of wood-frame houses; (2) identifying construction features to characterize alternative variants of wood-frame houses; (3) characterizing earthquake hazard and ground motions at representative sites in California; (4) developing cyclic loading protocols and conducting laboratory tests of cripple wall panels, wood-frame wall subassemblies, and sill anchorages to measure and document their response (strength and stiffness) under cyclic loading; and (5) the computer modeling, simulations, and the development of loss models as informed by a workshop with claims adjustors. Quantifying the difference of seismic performance of un-retrofitted and retrofitted single-family wood-frame houses has become increasingly important in California due to the high seismicity of the state. Inadequate lateral bracing of cripple walls and inadequate sill bolting are the primary reasons for damage to residential homes, even in the event of moderate earthquakes. Physical testing tasks were conducted by Working Group 4 (WG4), with testing carried out at the University of California San Diego (UCSD) and University of California Berkeley (UCB). The primary objectives of the testing were as follows: (1) development of descriptions of load-deflection behavior of components and connections for use by Working Group 5 in development of numerical modeling; and (2) collection of descriptions of damage at varying levels of peak transient drift for use by Working Group 6 in development of fragility functions. Both UCSD and UCB testing included companion specimens tested with and without retrofit. This report documents the portions of the WG4 testing conducted at UCB: two large-component cripple wall tests (Tests AL-1 and AL-2), one test of cripple wall load-path connections (Test B-1), and two tests of dwelling superstructure construction (Tests C-1 and C-2). Included in this report are details of specimen design and construction, instrumentation, loading protocols, test data, testing observations, discussion, and conclusions.
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Chagas, Gabriel, Rafael Chagas, and Amanda Rangel. Effectiveness and Safety of Single Antiplatelet Therapy with P2Y12 Inhibitor Monotherapy versus Dual Antiplatelet Therapy After Percutaneous Coronary Intervention for Acute Coronary Syndrome: A Systematic Review and Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.7.0097.

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Review question / Objective: What are the effects of single antiplatelet therapy with P2Y12 inhibitor monotherapy versus dual antiplatelet therapy after percutaneous coronary intervention for acute coronary syndrome? Condition being studied: Antiplatelet therapy after percutaneous coronary intervention for acute coronary syndrome. Information sources: The databases will be Medical Literature Analysis and Retrieval System Online (MEDLINE), Excerpta Medica Database (Embase), and Cochrane Library. Searches were conducted on July 25, 2022 and will be updated on August 25, 2022. There will be no language or publication period restrictions.
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