Relevant bibliographies by topics / Development and application of optimized algorithms

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
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Academic literature on the topic 'Development and application of optimized algorithms'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Development and application of optimized algorithms"

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Wang, Xue Mei. "Nonlinear Blind Source Separation Using GA Optimized RBF-ICA and its Application to the Image Noise Removal." Advanced Materials Research 393-395 (November 2011): 205–8. http://dx.doi.org/10.4028/www.scientific.net/amr.393-395.205.

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Today the blind source separation (BSS) algorithms are widely used to separate independent components in a data set based on its statistical properties. Especially in image data applications, the independent component analysis (ICA) based BSS procedure for image pre-processing has been successfully applied for independent component extraction in order to remove the noise signals mixed into the image data. The contribution of this paper refers to the development of a nonlinear BSS method using the radial basis function (RBF) neural network based ICA algorithm, which was built by adopted some modifications in the linear ICA model. Moreover, genetic algorithm (GA) was used to optimize the RBF neural network to obtain satisfactory nonlinear solve of the nonlinear mixing matrix. In the experiments of this work, the GA optimized nonlinear ICA method and other ICA models were applied for image de-noising. A comparative analysis has showed satisfactory and effective image de-noising results obtained by the presented method.
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Raju, M. Mohan, R. K. Srivastava, Dinesh C. S. Bisht, H. C. Sharma, and Anil Kumar. "Development of Artificial Neural-Network-Based Models for the Simulation of Spring Discharge." Advances in Artificial Intelligence 2011 (September 6, 2011): 1–11. http://dx.doi.org/10.1155/2011/686258.

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The present study demonstrates the application of artificial neural networks (ANNs) in predicting the weekly spring discharge. The study was based on the weekly spring discharge from a spring located near Ranichauri in Tehri Garhwal district of Uttarakhand, India. Five models were developed for predicting the spring discharge based on a weekly interval using rainfall, evaporation, temperature with a specified lag time. All models were developed both with one and two hidden layers. Each model was developed with many trials by selecting different network architectures and different number of hidden neurons; finally a best predicting model presented against each developed model. The models were trained with three different algorithms, that is, quick-propagation algorithm, batch backpropagation algorithm, and Levenberg-Marquardt algorithm using weekly data from 1999 to 2005. A best model for the simulation was selected from the three presented algorithms using the statistical criteria such as correlation coefficient (), determination coefficient, or Nash Sutcliff's efficiency (DC). Finally, optimized number of neurons were considered for the best model. Training and testing results revealed that the models were predicting the weekly spring discharge satisfactorily. Based on these criteria, ANN-based model results in better agreement for the computation of spring discharge. LMR models were also developed in the study, and they also gave good results, but, when compared with the ANN methodology, ANN resulted in better optimized values.
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Cai, Yinying, and Amit Sharma. "Swarm Intelligence Optimization: An Exploration and Application of Machine Learning Technology." Journal of Intelligent Systems 30, no. 1 (January 1, 2021): 460–69. http://dx.doi.org/10.1515/jisys-2020-0084.

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Abstract In the agriculture development and growth, the efficient machinery and equipment plays an important role. Various research studies are involved in the implementation of the research and patents to aid the smart agriculture and authors and reviewers that machine leaning technologies are providing the best support for this growth. To explore machine learning technology and machine learning algorithms, the most of the applications are studied based on the swarm intelligence optimization. An optimized V3CFOA-RF model is built through V3CFOA. The algorithm is tested in the data set collected concerning rice pests, later analyzed and compared in detail with other existing algorithms. The research result shows that the model and algorithm proposed are not only more accurate in recognition and prediction, but also solve the time lagging problem to a degree. The model and algorithm helped realize a higher accuracy in crop pest prediction, which ensures a more stable and higher output of rice. Thus they can be employed as an important decision-making instrument in the agricultural production sector.
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Arce, Samuel, Cory A. Vernon, Joshua Hammond, Valerie Newell, Joseph Janson, Kevin W. Franke, and John D. Hedengren. "Automated 3D Reconstruction Using Optimized View-Planning Algorithms for Iterative Development of Structure-from-Motion Models." Remote Sensing 12, no. 13 (July 7, 2020): 2169. http://dx.doi.org/10.3390/rs12132169.

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Unsupervised machine learning algorithms (clustering, genetic, and principal component analysis) automate Unmanned Aerial Vehicle (UAV) missions as well as the creation and refinement of iterative 3D photogrammetric models with a next best view (NBV) approach. The novel approach uses Structure-from-Motion (SfM) to achieve convergence to a specified orthomosaic resolution by identifying edges in the point cloud and planning cameras that “view” the holes identified by edges without requiring an initial model. This iterative UAV photogrammetric method successfully runs in various Microsoft AirSim environments. Simulated ground sampling distance (GSD) of models reaches as low as 3.4 cm per pixel, and generally, successive iterations improve resolution. Besides analogous application in simulated environments, a field study of a retired municipal water tank illustrates the practical application and advantages of automated UAV iterative inspection of infrastructure using 63 % fewer photographs than a comparable manual flight with analogous density point clouds obtaining a GSD of less than 3 cm per pixel. Each iteration qualitatively increases resolution according to a logarithmic regression, reduces holes in models, and adds details to model edges.
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Sunnersjö, Staffan, Mikael Cederfeldt, Fredrik Elgh, and Ingvar Rask. "A Transparent Design System for Iterative Product Development." Journal of Computing and Information Science in Engineering 6, no. 3 (January 9, 2006): 300–307. http://dx.doi.org/10.1115/1.2218363.

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Automated systems for variant design can be used for design iterations in order to guide the designer towards solutions that are optimized with respect to weight, cost, lead time, or other vital properties. In this work such a system for computational design problems is presented together with examples of its application. The system performs design computations, computed aided design model configuration, production process planning, and cost estimation. The design rules and algorithms are captured in knowledge “chunks,” which are human readable as well as computer executable. The workflow governing the execution of these rules and algorithms is created using a dependency structure matrix (DSM) which is included in the system. Particular attention has been given to the need for transparency, modularity, and longevity of the system, which is a prerequisite for such a system to become a viable tool in industrial applications. Experiences from the proposed system indicate that the DSM workflow manager in combination with a human readable and modularized knowledge base provides clarity and transparency for both developer and user of the system.
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Klimánek, M. "Optimization of digital terrain model for its application in forestry." Journal of Forest Science 52, No. 5 (January 9, 2012): 233–41. http://dx.doi.org/10.17221/4506-jfs.

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Digital terrain model (DTM) represents a very important geospatial data type. In the CzechRepublic, the most common digital contour data sources are the Primary Geographic Data Base (ZABAGED), the Digital Ground Model (DMÚ25) and eventually the Regional Plans of Forest Development (OPRL). In constructing regular raster DTM, the initial process requires interpolation between the points in order to estimate values in a regular grid pattern. In this study, constructions of DTM from the above-mentioned data were tested using several software products: ArcEditor 9.0, Atlas 3.8, GRASS 6.1, Idrisi 14.02 and TopoL 2001. Algorithm parameters can be optimized in several ways. In this sense a comparison of the first and second derivative of DTM and its real appearance in the terrain and a cross-validation procedure or terrain data measurements to compute and minimize the root mean square error values (RMSE) proved to be the most useful operations. The ZABAGED contour data provided the best results, with software specific algorithms for interpolations of contour data (ArcGIS Desktop Topo to Raster, Idrisi Kilimanjaro TIN).
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Zhao, Jiaxin, Hongwei Wang, and Heming Zhang. "An Accurate Method for Real-Time Aircraft Dynamics Simulation Based on Predictor-Corrector Scheme." Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/193179.

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Real-time aircraft dynamics simulation requires very high accuracy and stability in the numerical integration process. Nonetheless, traditional multistep numerical methods cannot effectively meet the new requirements. Therefore, a novel real-time multistep method based on Predict-Evaluate-Correct scheme of three-step fourth-order method (RTPEC-34) is proposed and developed in this research to address the gap. In addition to the development of a highly accurate algorithm based on predictor-corrector, the contribution of this work also includes the analysis of truncation error for real-time problems. Moreover, the parameters for the RTPEC-34 method are optimized using intelligent optimization algorithms. The application and comparison of the optimization algorithms also lead to general guidelines for their applications in the development of improved multistep methods. Last but not least, theoretical analysis is also conducted on the stability of the proposed RTPEC-34 method, which is corroborated in simulation experiments and thus provides general guidelines for the evaluation of real-time numerical methods. The RTPEC-34 method is compared with other multistep algorithms using both numerical experiments and a real engineering example. As shown in the comparison, it achieves improved performance in terms of accuracy and stability and it is also a viable and efficient algorithm for real-time aircraft dynamics simulation.
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DOBLANDER, ANDREAS, DIETMAR GÖSSERINGER, BERNHARD RINNER, and HELMUT SCHWABACH. "AN EVALUATION OF MODEL-BASED SOFTWARE SYNTHESIS FROM SIMULINK MODELS FOR EMBEDDED VIDEO APPLICATIONS." International Journal of Software Engineering and Knowledge Engineering 15, no. 02 (April 2005): 343–48. http://dx.doi.org/10.1142/s0218194005002038.

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In next generation video surveillance systems there is a trend towards embedded solutions. Digital signal processors (DSP) are often used to provide the necessary computing power. The limited resources impose significant challenges for software development. Resource constraints must be met while facing increasing application complexity and pressing time-to-market demands. Recent advances in synthesis tools for Simulink suggest a high-level approach to algorithm implementation for embedded DSP systems. The model-based visual development process of Simulink facilitates simulation as well as synthesis of target specific code. In this work the modeling and code generation capabilities of Simulink are evaluated with respect to video analysis algorithms. Different models of a motion detection algorithm are used to synthesize code. The generated code targeted at a Texas Instruments TMS320C6416 DSP is compared to a hand-optimized reference. Experiments show that an ad hoc approach to synthesize complex image processing algorithms hardly yields optimal code for DSPs. However, several optimizations can be applied to improve performance.
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Chen, Shan. "The Development of Computer Network Intrusion Detection System Based on Data Mining." Applied Mechanics and Materials 66-68 (July 2011): 2248–51. http://dx.doi.org/10.4028/www.scientific.net/amm.66-68.2248.

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In this paper, data mining algorithms have been refined and optimized to achieve the intelligent detection of network data. Winsock2 SPI used in the design of interception of network data, and use "session filtering" approach to network packet filtering. System is divided into control rules and intelligent detection module. Through practical testing, the system can display real-time network connection status on the application procedures can be effective control of network data can also be intelligent detection.
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Abdelghany, Reem Y., Salah Kamel, Hamdy M. Sultan, Ahmed Khorasy, Salah K. Elsayed, and Mahrous Ahmed. "Development of an Improved Bonobo Optimizer and Its Application for Solar Cell Parameter Estimation." Sustainability 13, no. 7 (March 31, 2021): 3863. http://dx.doi.org/10.3390/su13073863.

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Recently, photovoltaic (PV) energy has been considered one of the most exciting new technologies in the energy sector. PV power plants receive considerable attention because of their wide applications. Consequently, it is important to study the parameters of the solar cell model to control and determine the characteristics of the PV systems. In this study, an improved bonobo optimizer (IBO) was proposed to improve the performance of the conventional bonobo optimizer (BO). Both the IBO and the BO were utilized to obtain the accurate values of the unknown parameters of different mathematical models of solar cells. The proposed IBO improved the performance of the conventional BO by enhancing the exploitation (local search) and exploration (global search) phases to find the best optimal solution, where the search space was reduced using Levy flights and the sine–cosine function. Levy flights enhance the explorative phase, whereas the sine–cosine function improves the exploitation phase. Both the proposed IBO and the conventional BO were applied on single, double, and triple diode models of solar cells. To check the effectiveness of the proposed algorithm, statistical analysis based on the results of 20 runs of the optimization program was performed. The results obtained by the proposed IBO were compared with other algorithms, and all results of the proposed algorithm showed their durability and exceeded other algorithms.
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Dissertations / Theses on the topic "Development and application of optimized algorithms"

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Hampel, Uwe, and Hans-Gerd Maas. "Dynamische Rissdetektion mittels photogrammetrischer Verfahren – Entwicklung und Anwendung optimierter Algorithmen." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:14-ds-1244047882026-24052.

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Die digitale Nahbereichsphotogrammetrie ermöglicht eine effiziente Erfassung dreidimensionaler Objektoberflächen bei experimentellen Untersuchungen. Besonders für die flächenhafte Erfassung von Verformungen und die Rissdetektion sind photogrammetrische Verfahren – unter Beachtung entsprechender Randbedingungen – prinzipiell geeignet. Der Beitrag geht unter Einbeziehung aktueller Untersuchungen an textilbewehrten Betonproben auf die Problematik der Rissdetektion ein und gibt einen Überblick über den Entwicklungsstand und das erreichbare Genauigkeitspotential. In Bezug auf die praktische Anwendung der vorgestellten Verfahren wird abschließend auf verschiedene Möglichkeiten der Optimierung eingegangen.
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Johnson, Donald C. "Application of a genetic algorithm to optimize staffing levels in software development." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1994. http://handle.dtic.mil/100.2/ADA293725.

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Thesis (M.S. in Information Technology Management) Naval Postgraduate School, December 1994.
"December 1994." Thesis advisor(s): B. Ramesh, T. Hamid. Includes bibliographical references. Also available online.
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Elliott, Donald M. "Application of a genetic algorithm to optimize quality assurance in software development." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from the National Technical Information Service, 1993. http://handle.dtic.mil/100.2/ADA273193.

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Thesis (M.S. in Information Technology Management) Naval Postgraduate School, September 1993.
Thesis advisor(s): Ramesh, B. ; Abdel-Hamid, Tarek K. "September 1993." Includes bibliographical references. Also available online.
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Wanis, Paul, and John S. Fairbanks. "Analysis of Optimized Design Tradeoffs in Application of Wavelet Algorithms to Video Compression." International Foundation for Telemetering, 2004. http://hdl.handle.net/10150/605769.

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International Telemetering Conference Proceedings / October 18-21, 2004 / Town & Country Resort, San Diego, California
Because all video compression schemes introduce artifacts into the compressed video images, degradation occurs. These artifacts, generated by a wavelet-based compression scheme, will vary with the compression ratio and input imagery, but do show some consistent patterns across applications. There are a number of design trade-offs that can be made to mitigate the effect of these artifacts. By understanding the artifacts introduced by video compression and being able to anticipate the amount of image degradation, the video compression can be configured in a manner optimal to the application under consideration in telemetry.
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RUEDA, CAMILO VELASCO. "ESNPREDICTOR: TIME SERIES FORECASTING APPLICATION BASED ON ECHO STATE NETWORKS OPTIMIZED BY GENETICS ALGORITHMS AND PARTICLE SWARM OPTIMIZATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2014. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=24785@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
PROGRAMA DE EXCELENCIA ACADEMICA
A previsão de séries temporais é fundamental na tomada de decisões de curto, médio e longo prazo, em diversas áreas como o setor elétrico, a bolsa de valores, a meteorologia, entre outros. Tem-se na atualidade uma diversidade de técnicas e modelos para realizar essas previsões, mas as ferramentas estatísticas são as mais utilizadas principalmente por apresentarem um maior grau de interpretabilidade. No entanto, as técnicas de inteligência computacional têm sido cada vez mais aplicadas em previsão de séries temporais, destacando-se as Redes Neurais Artificiais (RNA) e os Sistemas de Inferência Fuzzy (SIF). Recentemente foi criado um novo tipo de RNA, denominada Echo State Networks (ESN), as quais diferem das RNA clássicas por apresentarem uma camada escondida com conexões aleatórias, denominada de Reservoir (Reservatório). Este Reservoir é ativado pelas entradas da rede e pelos seus estados anteriores, gerando o efeito de Echo State (Eco), fornecendo assim um dinamismo e um desempenho melhor para tarefas de natureza temporal. Uma dificuldade dessas redes ESN é a presença de diversos parâmetros, tais como Raio Espectral, Tamanho do Reservoir e a Percentual de Conexão, que precisam ser calibrados para que a ESN forneça bons resultados. Portanto, este trabalho tem como principal objetivo o desenvolvimento de uma ferramenta computacional capaz de realizar previsões de séries temporais, baseada nas ESN, com ajuste automático de seus parâmetros por Particle Swarm Optimization (PSO) e Algoritmos Genéticos (GA), facilitando a sua utilização pelo usuário. A ferramenta computacional desenvolvida oferece uma interface gráfica intuitiva e amigável, tanto em termos da modelagem da ESN, quanto em termos de realização de eventuais pré-processamentos na série a ser prevista.
The time series forecasting is critical to decision making in the short, medium and long term in several areas such as electrical, stock market, weather and industry. Today exist different techniques to model this forecast, but statistics are more used, because they have a bigger interpretability, due by the mathematic models created. However, intelligent techniques are being more applied in time series forecasting, where the principal models are the Artificial Neural Networks (ANN) and Fuzzy Inference Systems (FIS). A new type of ANN called Echo State Networks (ESN) was created recently, which differs from the classic ANN in a randomly connected hidden layer called Reservoir. This Reservoir is activated by the network inputs, and the historic of the reservoir activations generating so, the Echo State and giving to the network more dynamism and a better performance in temporal nature tasks. One problem with these networks is the presence of some parameters as, Spectral Radius, Reservoir Size and Connection Percent, which require calibration to make the network provide positive results. Therefore the aim of this work is to develop a computational application capable to do time series forecasting, based on ESN, with automatic parameters adjustment by Particle Swarm Optimization (PSO) and Genetic Algorithms (GA), facilitating its use by the user. The developed computational tool offers an intuitive and friendly interface, both in terms of modeling the ESN, and in terms of achievement of possible pre-process on the series to be forecasted.
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Huyan, Pengfei. "Electromagnetic digital actuators array : characterization of a planar conveyance application and optimized design." Thesis, Compiègne, 2015. http://www.theses.fr/2015COMP2178/document.

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Dans les systèmes mécaniques ou mécatroniques, les actionneurs sont les composants utilisés pour convertir l’énergie d’entrée, généralement l’énergie électrique, en tâche mécanique telles que le mouvement, la force ou une combinaison des deux. Actionneur analogique et actionneur numérique sont les deux types d’actionneurs les plus communs. Les actionneurs numériques possèdent les avantages du contrôle en boucle ouverte, faible consommation d’énergie par rapport aux actionneurs analogiques. Cependant, les actionneurs numériques présentent deux inconvénients majeurs. Les erreurs de fabrication de ces actionneurs doivent être contrôlées précisément parce que, contrairement à des actionneurs analogiques, une erreur de fabrication ne peut pas être compensée par la loi de commande. Un autre inconvénient est leur capacité à réaliser les tâches continues en raison de leur corse discrète. Un assemblage de plusieurs actionneurs numériques peut néanmoins réaliser des tâches multiples discrètes. Cette thèse porte sur la caractérisation et l’optimisation d’une conception expérimentale actionneurs tableau numériques pour l’application planaire de transport. Le premier objectif principal de la présente thèse est axé sur la caractérisation de l’ensemble des actionneurs existants et aussi une application planaire de transport sur la base du tableau des actionneurs. A cette fin, une modélisation de la matrice des actionneurs essais expérimentaux ont été effectués afin de déterminer l’influence de certains paramètres sur le comportement des actionneurs de tableau. Le deuxième objectif est de concevoir une nouvelle version du tableau actionneurs sur la base de l’expérience du premier prototype. Une optimisation de la conception a ensuite été réalisée en utilisant des techniques d’algorithmes génétiques tout en tenant compte de plusieurs critères
In mechanical or mechatronical systems, actuators are the components used to convert input energy, generally electrical energy, into mechanical tasks such as motion, force or a combination of both. Analogical actuator and digital actuator are two common types of actuators. Digital actuators have the advantages of open-loop control, low energy consumption and etc compared to analogical actuators. However, digital actuators present two main drawbacks. The manufacturing errors of these actuators have to be precisely controlled because, unlike to analogical actuators, a manufacturing error cannot be compensated using the control law. Another drawback is their inability to realize continuous tasks because of their discrete stroke. An assembly of several digital actuators can nevertheless realize multi-discrete tasks. This thesis focuses on the experimental characterization and optimization design of a digital actuators array for planar conveyance application. The firs main objective of the present thesis is focused on the characterization of the existing actuators array and also a planar conveyance application based on the actuators array. For that purpose, a modeling of the actuators array and experimental test has been carried out in order to determine the influence of some parameters on the actuators array behavior. The second objective is to design a new version of the actuators array based on the experience of the first prototype. An optimization of the design has then been realized using genetic algorithm techniques while considering several criteria
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Tsai, Ya-Lin. "Development of parallel processing algorithms to provide automatic image analysis for medical application." Thesis, University of Sunderland, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.336914.

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This thesis describes the development of: (i) an automatic chromosome analysis system capable of producing to a high degree of accuracy and consistency a correct classification for damaged chromosomes at a low cost and (ii) a parallel computer system to enable more rapid chromosome analysis. Chromosomes can be examined in a cytogenetics laboratory for a variety of purposes including an assessment of the affects of ionisation exposure on the genetic code of the cell. Scoring of chromosome aberrations caused by ionisation of radiation exposure, is possible by detecting dicentric chromosomes. In addition this approach provides a good biological radiation measure (dosimeter). However, currently manual methods are extremely time consuming and expensive with respect to labour costs. For the low radiation doses it is necessary to analyse a large number of chromosomes to identify a small number of damaged ones to score the number of aberrations. Consequently, the main objective of this research programme is to develop a rapid, low cost, and accurate automated chromosome analysis system. This research has concentrated solely on scoring dicentric chromosome since their characteristic shape is relatively easy to recognise in most cases and they most commonly created by exposure to radiation. The methods and theories considered in this thesis concerns chromosome image selection by automatic segment extraction using of the following: grey levels; image extraction by seed aggregation, a two dimensional function, a moment algorithm, for chromosome orientation; chromosome centreline determination; rapid detection of the chromosome centromere of the candidate. The new methods developed by the author and presented herein concern three steps or processes in automatic chromosome analysis. These include (i) a new segmentation scheme (ii) automatic selection the cell threshold grey scale level and (iii) the design a new methods capable of detecting bent chromosome with rapid determination the chromosome centromere. Parallel processing using the processor farm technique has been successfully developed to enable a more rapid chromosome classification system. The techniques described have been carefully tested and evaluated and have clearly demonstrated the potential application of the analysis methods by the author.
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Wong, Shu-fai, and 黃樹輝. "The Application of human body tracking for the development of a visualinterface." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B30103009.

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Dwyer, Michael G. "Development and application of novel algorithms for quantitative analysis of magnetic resonance imaging in multiple sclerosis." Thesis, University of Bradford, 2013. http://hdl.handle.net/10454/6298.

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This document is a critical synopsis of prior work by Michael Dwyer submitted in support of a PhD by published work. The selected work is focused on the application of quantitative magnet resonance imaging (MRI) analysis techniques to the study of multiple sclerosis (MS). MS is a debilitating disease with a multi-factorial pathology, progression, and clinical presentation. Its most salient feature is focal inflammatory lesions, but it also includes significant parenchymal atrophy and microstructural damage. As a powerful tool for in vivo investigation of tissue properties, MRI can provide important clinical and scientific information regarding these various aspects of the disease, but precise, accurate quantitative analysis techniques are needed to detect subtle changes and to cope with the vast amount of data produced in an MRI session. To address this, eight new techniques were developed by Michael Dwyer and his co-workers to better elucidate focal, atrophic, and occult/"invisible" pathology. These included: a method to better evaluate errors in lesion identification; a method to quantify differences in lesion distribution between scanner strengths; a method to measure optic nerve atrophy; a more precise method to quantify tissue-specific atrophy; a method sensitive to dynamic myelin changes; and a method to quantify iron in specific brain structures. Taken together, these new techniques are complementary and improve the ability of clinicians and researchers to reliably assess various key elements of MS pathology in vivo.
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Nyamugure, Philimon. "Modification, development, application and computational experiments of some selected network, distribution and resource allocation models in operations research." Thesis, University of Limpopo, 2017. http://hdl.handle.net/10386/1930.

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Thesis (Ph.D. (Statistics)) -- University of Limpopo, 2017
Operations Research (OR) is a scientific method for developing quantitatively well-grounded recommendations for decision making. While it is true that it uses a variety of mathematical techniques, OR has a much broader scope. It is in fact a systematic approach to solving problems, which uses one or more analytical tools in the process of analysis. Over the years, OR has evolved through different stages. This study is motivated by new real-world challenges needed for efficiency and innovation in line with the aims and objectives of OR – the science of better, as classified by the OR Society of the United Kingdom. New real-world challenges are encountered on a daily basis from problems arising in the fields of water, energy, agriculture, mining, tourism, IT development, natural phenomena, transport, climate change, economic and other societal requirements. To counter all these challenges, new techniques ought to be developed. The growth of global markets and the resulting increase in competition have highlighted the need for OR techniques to be improved. These developments, among other reasons, are an indication that new techniques are needed to improve the day-to-day running of organisations, regardless of size, type and location. The principal aim of this study is to modify and develop new OR techniques that can be used to solve emerging problems encountered in the areas of linear programming, integer programming, mixed integer programming, network routing and travelling salesman problems. Distribution models, resource allocation models, travelling salesman problem, general linear mixed integer ii programming and other network problems that occur in real life, have been modelled mathematically in this thesis. Most of these models belong to the NP-hard (non-deterministic polynomial) class of difficult problems. In other words, these types of problems cannot be solved in polynomial time (P). No general purpose algorithm for these problems is known. The thesis is divided into two major areas namely: (1) network models and (2) resource allocation and distribution models. Under network models, five new techniques have been developed: the minimum weight algorithm for a non-directed network, maximum reliability route in both non-directed and directed acyclic network, minimum spanning tree with index less than two, routing through 0k0 specified nodes, and a new heuristic to the travelling salesman problem. Under the resource allocation and distribution models section, four new models have been developed, and these are: a unified approach to solve transportation and assignment problems, a transportation branch and bound algorithm for the generalised assignment problem, a new hybrid search method over the extreme points for solving a large-scale LP model with non-negative coefficients, and a heuristic for a mixed integer program using the characteristic equation approach. In most of the nine approaches developed in the thesis, efforts were done to compare the effectiveness of the new approaches to existing techniques. Improvements in the new techniques in solving problems were noted. However, it was difficult to compare some of the new techniques to the existing ones because computational packages of the new techniques need to be developed first. This aspect will be subject matter of future research on developing these techniques further. It was concluded with strong evidence, that development of new OR techniques is a must if we are to encounter the emerging problems faced by the world today. Key words: NP-hard problem, Network models, Reliability, Heuristic, Largescale LP, Characteristic equation, Algorithm.
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Books on the topic "Development and application of optimized algorithms"

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Elliott, Donald M. Application of a genetic algorithm to optimize quality assurance in software development. Monterey, Calif: Naval Postgraduate School, 1993.

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Venable, Herbert L. The development and application of algorithms for generating estimates of toxicity for the NOHS data base. Cincinnati, Ohio: U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control, National Institute for Occupational Safety and Health, Division of Surveillance, Hazard Evaluations and Field Studies, 1986.

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Ray, Toal, ed. Programming with JavaScript: Algorithms and applications for desktop and mobile browsers. Burlington, MA: Jones & Bartlett Learning, 2013.

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1964-, Fleischer Rudolf, Moret B. M. E, and Schmidt E. M. 1945-, eds. Experimental algorithmics: From algorithm design to robust and efficient software. New York: Springer, 2002.

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Sahni, Sartaj. Data structures, algorithms, and applications in C++. Boston: WCB/McGraw-Hill, 1998.

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Data structures, algorithms, and applications in C [plus plus]. Boston: WCB/McGraw-Hill, 1998.

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Foundations of software testing: Fundamental algorithms and techniques : an undergraduate and graduate text, a reference for the practicing software engineer. Delhi: Pearson Education, 2008.

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Redbooks, IBM. Writing Optimized Java Applications for Z/OS. Ibm, 2002.

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Sahni, Sartaj. Data Structures, Algorithms, and Applications in Java. McGraww-Hill, 2000.

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Sahni, Sartaj. Data Structures, Algorithms and Applications in Java. McGraw-Hill Education (ISE Editions), 2000.

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Book chapters on the topic "Development and application of optimized algorithms"

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Banjanovic-Mehmedovic, Lejla, and Azra Baluković. "PSO Optimized Fuzzy Controller for Mobile Robot Path Tracking." In New Technologies, Development and Application III, 413–21. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46817-0_47.

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Wang, Ning, Qianlong Lan, Xuemin Chen, Gangbing Song, and Hamid Parsaei. "A Novel Mobile-Optimized Remote Laboratory Application Architecture." In Development of a Remote Laboratory for Engineering Education, 38–43. Boca Raton, FL : CRC Press, [2020] | Series: Technology guides. Advancing capacity building in contemporary organizations: CRC Press, 2020. http://dx.doi.org/10.1201/9780429326455-4.

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Alvarez, Pavel Anselmo. "Application of Heuristics Algorithms on Product Development." In Studies in Systems, Decision and Control, 355–77. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42188-5_18.

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Raju, More, Upasana Sarma, and Lalit Chandra Saikia. "Application of Firefly Algorithm Optimized Fuzzy 2DOFPID Controller for Diverse-Sourced Multi-area LFC." In Computing Algorithms with Applications in Engineering, 261–67. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2369-4_22.

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Schweitzer, Marc Alexander, and Albert Ziegenhagel. "Rapid Enriched Simulation Application Development with PUMA." In Scientific Computing and Algorithms in Industrial Simulations, 207–26. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62458-7_11.

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Hakl, František, Marek Hlaváček, and Roman Kalous. "Application of Neural Networks Optimized by Genetic Algorithms to Higgs Boson Search." In Lecture Notes in Computer Science, 554–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-47789-6_58.

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Brezočnik, Lucija, Iztok Fister, and Vili Podgorelec. "Solving Agile Software Development Problems with Swarm Intelligence Algorithms." In New Technologies, Development and Application II, 298–309. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18072-0_35.

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Fourkanul Islam, Md, Sifat Bin Zaman, Muhammad Nazrul Islam, and Ashraful Islam. "Design and Development of a Gaming Application for Learning Recursive Programming." In Algorithms for Intelligent Systems, 285–96. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0586-4_23.

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Hosťovecký, Marián, Miroslav Ölvecký, and Katarína Pribilová. "Paidagogos S.G.: Development and Programming of the Serious Game Application." In Intelligent Algorithms in Software Engineering, 597–604. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51965-0_53.

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Kraner, Vid, Iztok Fister, and Lucija Brezočnik. "Procedural Content Generation of Custom Tower Defense Game Using Genetic Algorithms." In New Technologies, Development and Application IV, 493–503. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75275-0_54.

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Conference papers on the topic "Development and application of optimized algorithms"

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Weber Martins, Thiago, Christian Steinmetz, Katharina Albrecht, and Reiner Anderl. "Web-Based Application for Algorithm Based Product Development Process of Integral Bifurcated Sheet Metal Parts." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-59120.

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Within the Collaborative Research Center 666 the algorithm based product development process has been established. It is based on state of the art product development methodologies and enhanced in order to optimize the product development process of integral bifurcated sheet metal parts. Algorithms based on mathematical optimization approaches as well as the initial product requirements and constraints information are applied to obtain an optimized design as CAD-Model. Regarding this methodology there are still some challenges to be solved, such as reduction of iterations steps to elaborate final product design as CAD-model, use of heterogeneous data as well as software and enhancement of information exchange. Therefore, this paper introduces a concept for a web-based application to support the algorithmic product development methodology and CAD modeling in CRC 666. It enables the development and adaptation of integral bifurcated parts based on the initial optimization data provided by XML-files. Besides the description of use cases and use scenarios, the concept is implemented as a web-based application for validation purposes. Based on the validation, advantages and limitations of the presented approach are discussed.
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Hongli Yang and Yun Yang. "Application of improved BP algorithm to the optimized formulation of ceramics glaze." In 2011 3rd International Conference on Computer Research and Development (ICCRD). IEEE, 2011. http://dx.doi.org/10.1109/iccrd.2011.5764045.

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Sukstrienwong, Anon, Jirawat Ruenanukul, and Kantapon Limsrisakul. "Development of Web-based Application for Forming an Optimized Group of Buyers by Genetic Algorithm." In ICSET 2019: 2019 The 3rd International Conference on E-Society, E-Education and E-Technology. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3355966.3355967.

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Favaretto, C. F. F., and K. Funazaki. "Application of Genetic Algorithms to Design of an Internal Turbine Cooling System." In ASME Turbo Expo 2003, collocated with the 2003 International Joint Power Generation Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/gt2003-38408.

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This paper deals with the development of an optimizing technique based on Genetic Algorithms (GA), which can be applied to the optimization of an internal cooling system of turbine nozzles. An impingement cooling system with pins and air-discharging holes is selected as target cooling system to be optimized using a single-objective GA code developed in this study. The optimization is performed for several design parameters such as the impingement and discharging hole diameters, pin diameter and pin height. The computational grid is automatically generated and boundary conditions prescribed. A commercial CFD code is used to evaluate the target function, which is in the present case simply defined as the ratio between the averaged heat transfer coefficient multiplied by the wetted area and the pressure loss. A hybrid FORTRAN/UNIX shell script program controls the whole process of the optimization, leading to the successful achievement for finding an optimum configuration of the cooling system concerned.
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Al-Turki, Ali, Obai Alnajjar, Majdi Baddourah, and Babatunde Moriwawon. "Compressed Dimension of Reservoir Models Uncertainty Parameters for Optimized Model Calibration and History Matching Process." In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/206066-ms.

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Abstract The algorithms and workflows have been developed to couple efficient model parameterization with stochastic, global optimization using a Multi-Objective Genetic Algorithm (MOGA) for global history matching, and coupled with an advanced workflow for streamline sensitivity-based inversion for fine-tuning. During parameterization the low-rank subsets of most influencing reservoir parameters are identified and propagated to MOGA to perform the field-level history match. Data misfits between the field historical data and simulation data are calculated with multiple realizations of reservoir models that quantify and capture reservoir uncertainty. Each generation of the optimization algorithms reduces the data misfit relative to the previous iteration. This iterative process continues until a satisfactory field-level history match is reached or there are no further improvements. The fine-tuning process of well-connectivity calibration is then performed with a streamlined sensitivity-based inversion algorithm to locally update the model to reduce well-level mismatch. In this study, an application of the proposed algorithms and workflow is demonstrated for model calibration and history matching. The synthetic reservoir model used in this study is discretized into millions of grid cells with hundreds of producer and injector wells. It is designed to generate several decades of production and injection history to evaluate and demonstrate the workflow. In field-level history matching, reservoir rock properties (e.g., permeability, fault transmissibility, etc.) are parameterized to conduct the global match of pressure and production rates. Grid Connectivity Transform (GCT) was used and assessed to parameterize the reservoir properties. In addition, the convergence rate and history match quality of MOGA was assessed during the field (global) history matching. Also, the effectiveness of the streamline-based inversion was evaluated by quantifying the additional improvement in history matching quality per well. The developed parametrization and optimization algorithms and workflows revealed the unique features of each of the algorithms for model calibration and history matching. This integrated workflow has successfully defined and carried uncertainty throughout the history matching process. Following the successful field-level history match, the well-level history matching was conducted using streamline sensitivity-based inversion, which further improved the history match quality and conditioned the model to historical production and injection data. In general, the workflow results in enhanced history match quality in a shorter turnaround time. The geological realism of the model is retained for robust prediction and development planning.
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Cao, Tao, Yunho Hwang, Reinhard Radermacher, and Ho-Hwan Chun. "Development of an Optimization Framework for Micro-Grid Energy Conversion Systems." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-65371.

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A comprehensive optimization study considering both system configurations and control strategies is needed for micro-grid energy systems. In order to address this need, this study provides an advanced optimization framework that extends existing energy system optimization studies in following four aspects: complete system optimization from scratch; comprehensive energy conversion equipment modeling for heating, cooling and power generations; modeling of cascaded configurations such as a cascaded absorption-compression refrigeration system and a cascaded organic Rankine cycle-direct heating system; and consideration of transient loads and weather profiles. The optimization framework aims to find optimum system configurations and control strategies for any given equipment options, and load- and weather-profiles in order to minimize life cycle cost. First, correlation based equipment models and cascaded system models were developed. Then the optimization framework was established using a genetic algorithm solver built in Matlab. The framework was presented through a case study on an oceanic container transportation application under transient loads and weather profiles. It was found that the optimized system was able to reduce life cycle cost by 40%. The optimized system is in favor of cascaded organic Exploring waste heat from the main engine that is used for main propulsion is the key to reduce life cycle cost. The developed optimization framework can be used for any applications as an efficient tool to search for novel energy system designs and their evaluations.
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Goulos, Ioannis, Martina Mohseni, Vassilios Pachidis, Roberto D’Ippolito, and Jos Stevens. "Simulation Framework Development for Helicopter Mission Analysis." In ASME Turbo Expo 2010: Power for Land, Sea, and Air. ASMEDC, 2010. http://dx.doi.org/10.1115/gt2010-23389.

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Helicopter mission performance analysis has always been an important topic for the helicopter industry. This topic is now raising even more interest as aspects related to emissions and noise gain more importance for environmental and social impact assessments. The present work illustrates the initial steps of a methodology developed in order to acquire the optimal trajectory of any specified helicopter under specific operational or environmental constraints. For this purpose, it is essential to develop an integrated tool capable of determining the resources required (e.g. fuel burnt) for a given helicopter trajectory, as well as assessing its environmental impact. This simulation framework tool is the result of a collaborative effort between Cranfield University (UK), National Aerospace Laboratory NLR (NL) and LMS International (BE). In order to simulate the characteristics of a specific trajectory, as well as to evaluate the emissions that are produced during the helicopter’s operation within the trajectory, three computational models developed at Cranfield University have been integrated into the simulation tool. These models consist of a helicopter performance model, an engine performance model and an emission indices prediction model. The models have been arranged in order to communicate linearly with each other. The linking has been performed with the deployment of the OPTIMUS process and simulation integration framework developed by LMS International. The optimization processes carried out for the purpose of this work have been based on OPTIMUS’ built-in optimizing algorithms. A comparative evaluation between the optimized and an arbitrarily defined baseline trajectory’s results has been waged for the purpose of quantifying the operational profit (in terms of fuel required) gained by the helicopter’s operation within the path of an optimized trajectory for a given constraint. The application of the aforementioned methodology to a case study for the purpose of assessing the environmental impact of a helicopter mission, as well as the associated required operational resources is performed and presented.
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Yokoyama, André, Antonio Mury, Mariza Ferro, and Bruno Schulze. "Evaluation of Nature Inspired Metaheuristics for Search and Reconnaissance Operations by Rotary-wing Aircrafts." In XI Brazilian e-Science Workshop. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/bresci.2017.9918.

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The main objective of this work is the evaluation of two nature inspired meta-heuristics, Genetic Algorithms and Ant Colony, for the development of an application that can generate optimized routes for aircraft, attending the requirements of the Brazilian Navy. This work presents the methods developed, complying with two main constraints: checkpoints mobility and limited aircraft autonomy. It also presents the results of tests performed with the methods developed and an evaluation of their performances.
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Bolodurina, Irina, and Denis Parfenov. "Development of models and algorithms machine learning to optimize the control for the placement of virtual network functions in the infrastructure of the virtual data center." In 2017 IEEE 11th International Conference on Application of Information and Communication Technologies (AICT). IEEE, 2017. http://dx.doi.org/10.1109/icaict.2017.8686955.

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M. Ali, Ahmed, and Dirk Söffker. "Realtime Power Management of a Multi-Source HEV Using Adaptive Dynamic Programing and Probabilistic Drive State Model." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67568.

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Power management in multi-source hybrid electric vehicles (HEVs) is a nontrivial problem dealing with different forms of energy. Optimal-based approaches are not facile to apply in realtime due to their high computational requirements. Rule-based (RB) algorithms are suitable for realtime control; however, the solution provided is non-optimal. Development of applicable optimal-based solution in realtime control can ensure higher efficiency of HEVs. This paper presents a new method for realtime optimal control of multisource HEVs using adaptive dynamic programming (ADP). The developed concept is based on drive state recognition in terms of physics-based parameters. Vehicle operating conditions are offline optimized for each state using NSGA-II optimization tool. The optimized solution can be applied state-wise in realtime using adaptive RB method. To apply ADP, probabilistic drive state model is developed to provide a lookahead window and generate state transition network for the specified horizon. The algorithm is customized in terms of prediction stepsize/length to solve the shortest path problem in realtime. Experimental application is conducted using emulation test-rig to validate the results. Both simulation and experimental results show reduction of total cost function in terms of fuel consumption and on-board charge sustaining.
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Reports on the topic "Development and application of optimized algorithms"

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Barnette, D. W., R. J. Pryor, and J. T. Feddema. Development and Application of Genetic Algorithms for Sandia's RATLER Robotic Vehicles. Office of Scientific and Technical Information (OSTI), November 2000. http://dx.doi.org/10.2172/769027.

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Kobayashi, Marcelo H. (HBCU) Development and Application of a Biologically Inspired Methodology for the Optimized, Multi-Disciplinary and Multi-Objective Design of Air Vehicles. Fort Belvoir, VA: Defense Technical Information Center, May 2013. http://dx.doi.org/10.21236/ada584389.

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Lohner, Rainald, and Jean Cabello. Development and Application of New Algorithms for the Simulation of Compressible flows with Moving Bodies in Three Dimensions. Fort Belvoir, VA: Defense Technical Information Center, March 1992. http://dx.doi.org/10.21236/ada250232.

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Lohner, Rainald, Chi Yang, and Juan R. Cebral. Development and Application of New Algorithms for the Simulation of Viscous Compressible Flows with Moving Bodies in Three Dimensions. Fort Belvoir, VA: Defense Technical Information Center, December 1996. http://dx.doi.org/10.21236/ada325609.

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Loehner, Rainald, and Chi Yang. Development and Application of Advanced Algorithms for the Simulation of Viscous Compressible Flows With Moving Bodies in Three Dimensions. Fort Belvoir, VA: Defense Technical Information Center, September 2004. http://dx.doi.org/10.21236/ada426424.

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Lohner, Rainald, Chi Yang, and Juan R. Cebral. Development and Application of New Algorithms for the Simulation of Viscous Compressible Flows with Moving Bodies in Three Dimensions. Fort Belvoir, VA: Defense Technical Information Center, August 2000. http://dx.doi.org/10.21236/ada386723.

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Lohner, Rainold, and Jean Cabello. Development and Application of New Algorithms for the Simulation of Viscouse Scompressible Flows with Moving Bodies in Three Dimensions. Fort Belvoir, VA: Defense Technical Information Center, September 1993. http://dx.doi.org/10.21236/ada273514.

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The development and application of algorithms for generating estimates of toxicity for the NOHS data base. U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control, National Institute for Occupational Safety and Health, July 1986. http://dx.doi.org/10.26616/nioshpub87101.

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