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Multi Objective Optimization Approach Based On Simulated Annealing And Its Application To Nuclear Fuel Management
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Book Synopsis Multi-objective Optimization Approach Based on Simulated Annealing and Its Application to Nuclear Fuel Management by : P. Engrand
Download or read book Multi-objective Optimization Approach Based on Simulated Annealing and Its Application to Nuclear Fuel Management written by P. Engrand and published by . This book was released on 1998 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Simulated Annealing by : Marcos Sales Guerra Tsuzuki
Download or read book Simulated Annealing written by Marcos Sales Guerra Tsuzuki and published by BoD – Books on Demand. This book was released on 2012-10-17 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state of the art contributes to Simulated Annealing (SA) that is a well-known probabilistic meta-heuristic. It is used to solve discrete and continuous optimization problems. The significant advantage of SA over other solution methods has made it a practical solution method for solving complex optimization problems. Book is consisted of 13 chapters, classified in single and multiple objectives applications and it provides the reader with the knowledge of SA and several applications. We encourage readers to explore SA in their work, mainly because it is simple and can determine extremely very good results.
Book Synopsis Multi-Objective Programming and Goal Programming by : Tetsuzo Tanino
Download or read book Multi-Objective Programming and Goal Programming written by Tetsuzo Tanino and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the proceedings of the Fifth International Conference on Multi-Objective Programming and Goal Programming: Theory & Appli cations (MOPGP'02) held in Nara, Japan on June 4-7, 2002. Eighty-two people from 16 countries attended the conference and 78 papers (including 9 plenary talks) were presented. MOPGP is an international conference within which researchers and prac titioners can meet and learn from each other about the recent development in multi-objective programming and goal programming. The participants are from different disciplines such as Optimization, Operations Research, Math ematical Programming and Multi-Criteria Decision Aid, whose common in terest is in multi-objective analysis. The first MOPGP Conference was held at Portsmouth, United Kingdom, in 1994. The subsequent conferenes were held at Torremolinos, Spain in 1996, at Quebec City, Canada in 1998, and at Katowice, Poland in 2000. The fifth conference was held at Nara, which was the capital of Japan for more than seventy years in the eighth century. During this Nara period the basis of Japanese society, or culture established itself. Nara is a beautiful place and has a number of historic monuments in the World Heritage List. The members of the International Committee of MOPGP'02 were Dylan Jones, Pekka Korhonen, Carlos Romero, Ralph Steuer and Mehrdad Tamiz.
Book Synopsis Computational Intelligence: Research Frontiers by : Gary G. Yen
Download or read book Computational Intelligence: Research Frontiers written by Gary G. Yen and published by Springer Science & Business Media. This book was released on 2008-05-13 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: This state-of-the-art survey offers a renewed and refreshing focus on the progress in nature-inspired and linguistically motivated computation. The book presents the expertise and experiences of leading researchers spanning a diverse spectrum of computational intelligence in the areas of neurocomputing, fuzzy systems, evolutionary computation, and adjacent areas. The result is a balanced contribution to the field of computational intelligence that should serve the community not only as a survey and a reference, but also as an inspiration for the future advancement of the state of the art of the field. The 18 selected chapters originate from lectures and presentations given at the 5th IEEE World Congress on Computational Intelligence, WCCI 2008, held in Hong Kong, China, in June 2008. After an introduction to the field and an overview of the volume, the chapters are divided into four topical sections on machine learning and brain computer interface, fuzzy modeling and control, computational evolution, and applications.
Book Synopsis Multiple Criteria Decision Analysis: State of the Art Surveys by : Salvatore Greco
Download or read book Multiple Criteria Decision Analysis: State of the Art Surveys written by Salvatore Greco and published by Springer Science & Business Media. This book was released on 2006-01-20 with total page 1063 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiple Criteria Decision Analysis: State of the Art Surveys provides survey articles and references of the seminal or state-of-the-art research on MCDA. The material covered ranges from the foundations of MCDA, over various MCDA methodologies (outranking methods, multiattribute utility and value theories, non-classical approaches) to multiobjective mathematical programming, MCDA applications, and software. This vast amount of material is organized in 8 parts, with a total of 25 chapters. More than 2000 references are listed.
Book Synopsis Metaheuristic Approaches to Portfolio Optimization by : Ray, Jhuma
Download or read book Metaheuristic Approaches to Portfolio Optimization written by Ray, Jhuma and published by IGI Global. This book was released on 2019-06-22 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Control of an impartial balance between risks and returns has become important for investors, and having a combination of financial instruments within a portfolio is an advantage. Portfolio management has thus become very important for reaching a resolution in high-risk investment opportunities and addressing the risk-reward tradeoff by maximizing returns and minimizing risks within a given investment period for a variety of assets. Metaheuristic Approaches to Portfolio Optimization is an essential reference source that examines the proper selection of financial instruments in a financial portfolio management scenario in terms of metaheuristic approaches. It also explores common measures used for the evaluation of risks/returns of portfolios in real-life situations. Featuring research on topics such as closed-end funds, asset allocation, and risk-return paradigm, this book is ideally designed for investors, financial professionals, money managers, accountants, students, professionals, and researchers.
Book Synopsis In-core Nuclear Fuel Management Optimization Utilizing Simulated Annealing by : David Joseph Kropaczek
Download or read book In-core Nuclear Fuel Management Optimization Utilizing Simulated Annealing written by David Joseph Kropaczek and published by . This book was released on 1990 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Multiple Criteria Optimization by : Matthias Ehrgott
Download or read book Multiple Criteria Optimization written by Matthias Ehrgott and published by Springer Science & Business Media. This book was released on 2002-06-30 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: The roots of Multiple Criteria Decision Making and Multiple Criteria Optimization were laid by Pareto at the end of the 19th century, and since then the discipline has prospered and grown, especially during the last three decades. Today, many decision support systems incorporate methods to deal with conflicting objectives. The foundation for such systems is a mathematical theory of optimization under multiple objectives. Since its beginnings, there have been a vast number of books, journal issues, papers and conferences that have brought the field to its present state. Despite this vast body of literature, there is no reliable guide to provide an access to this knowledge. Over the years, many literature surveys and bibliographies have been published. With the ever rapidly increasing rate of publications in the area and the development of subfields, these were mostly devoted to particular aspects of multicriteria optimization: Multiobjective Integer Programming, Multi-objective Combinatorial Optimization, Vector Optimization, Multiobjective Evolutionary Methods, Applications of MCDM, MCDM Software, Goal Programming. Hence the need for a comprehensive overview of the literature in multicriteria optimization that could serve as a state of the art survey and guide to the vast amount of publications. Multiple Criteria Optimization: State of the Art Annotated Bibliographic Surveys is precisely this book. Experts in various areas of multicriteria optimization have contributed to the volume. The chapters in this book roughly follow a thread from most general to more specific. Some of them are about particular types of problems (Theory of Vector Optimization, Nonlinear Multiobjective Programming, Fuzzy Multiobjective Programming, Multiobjective Combinatorial Optimization, Multicriteria Scheduling Problems), while the others are focused on multi-objective methodologies (Goal Programming, Interactive Methods, Evolutionary Algorithms, Data Envelopment Analysis). All contributing authors invested great effort to produce comprehensive overviews and bibliographies and to have references that are as precise as possible.
Book Synopsis Hybrid Metaheuristics by : Christian Blum
Download or read book Hybrid Metaheuristics written by Christian Blum and published by Springer Science & Business Media. This book was released on 2008-04-11 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization problems are of great importance across a broad range of fields. They can be tackled, for example, by approximate algorithms such as metaheuristics. This book is intended both to provide an overview of hybrid metaheuristics to novices of the field, and to provide researchers from the field with a collection of some of the most interesting recent developments. The authors involved in this book are among the top researchers in their domain.
Author :Management Association, Information Resources Publisher :IGI Global ISBN 13 :1799880990 Total Pages :1534 pages Book Rating :4.7/5 (998 download)
Book Synopsis Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms by : Management Association, Information Resources
Download or read book Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms written by Management Association, Information Resources and published by IGI Global. This book was released on 2020-12-05 with total page 1534 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic programming is a new and evolutionary method that has become a novel area of research within artificial intelligence known for automatically generating high-quality solutions to optimization and search problems. This automatic aspect of the algorithms and the mimicking of natural selection and genetics makes genetic programming an intelligent component of problem solving that is highly regarded for its efficiency and vast capabilities. With the ability to be modified and adapted, easily distributed, and effective in large-scale/wide variety of problems, genetic algorithms and programming can be utilized in many diverse industries. This multi-industry uses vary from finance and economics to business and management all the way to healthcare and the sciences. The use of genetic programming and algorithms goes beyond human capabilities, enhancing the business and processes of various essential industries and improving functionality along the way. The Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms covers the implementation, tools and technologies, and impact on society that genetic programming and algorithms have had throughout multiple industries. By taking a multi-industry approach, this book covers the fundamentals of genetic programming through its technological benefits and challenges along with the latest advancements and future outlooks for computer science. This book is ideal for academicians, biological engineers, computer programmers, scientists, researchers, and upper-level students seeking the latest research on genetic programming.
Book Synopsis A Matrix Algebra Approach to Artificial Intelligence by : Xian-Da Zhang
Download or read book A Matrix Algebra Approach to Artificial Intelligence written by Xian-Da Zhang and published by Springer Nature. This book was released on 2020-05-23 with total page 844 pages. Available in PDF, EPUB and Kindle. Book excerpt: Matrix algebra plays an important role in many core artificial intelligence (AI) areas, including machine learning, neural networks, support vector machines (SVMs) and evolutionary computation. This book offers a comprehensive and in-depth discussion of matrix algebra theory and methods for these four core areas of AI, while also approaching AI from a theoretical matrix algebra perspective. The book consists of two parts: the first discusses the fundamentals of matrix algebra in detail, while the second focuses on the applications of matrix algebra approaches in AI. Highlighting matrix algebra in graph-based learning and embedding, network embedding, convolutional neural networks and Pareto optimization theory, and discussing recent topics and advances, the book offers a valuable resource for scientists, engineers, and graduate students in various disciplines, including, but not limited to, computer science, mathematics and engineering.
Book Synopsis Handbook of Nuclear Engineering by : Dan Gabriel Cacuci
Download or read book Handbook of Nuclear Engineering written by Dan Gabriel Cacuci and published by Springer Science & Business Media. This book was released on 2010-09-14 with total page 3701 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an authoritative compilation of information regarding methods and data used in all phases of nuclear engineering. Addressing nuclear engineers and scientists at all levels, this book provides a condensed reference on nuclear engineering since 1958.
Author :Sanghamitra Bandyopadhyay Publisher :Springer Science & Business Media ISBN 13 :3642324517 Total Pages :271 pages Book Rating :4.6/5 (423 download)
Book Synopsis Unsupervised Classification by : Sanghamitra Bandyopadhyay
Download or read book Unsupervised Classification written by Sanghamitra Bandyopadhyay and published by Springer Science & Business Media. This book was released on 2012-12-13 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clustering is an important unsupervised classification technique where data points are grouped such that points that are similar in some sense belong to the same cluster. Cluster analysis is a complex problem as a variety of similarity and dissimilarity measures exist in the literature. This is the first book focused on clustering with a particular emphasis on symmetry-based measures of similarity and metaheuristic approaches. The aim is to find a suitable grouping of the input data set so that some criteria are optimized, and using this the authors frame the clustering problem as an optimization one where the objectives to be optimized may represent different characteristics such as compactness, symmetrical compactness, separation between clusters, or connectivity within a cluster. They explain the techniques in detail and outline many detailed applications in data mining, remote sensing and brain imaging, gene expression data analysis, and face detection. The book will be useful to graduate students and researchers in computer science, electrical engineering, system science, and information technology, both as a text and as a reference book. It will also be useful to researchers and practitioners in industry working on pattern recognition, data mining, soft computing, metaheuristics, bioinformatics, remote sensing, and brain imaging.
Book Synopsis Within-lattice Nuclear Fuel Assembly Loading Optimization by Simulated Annealing by : Tong Guo
Download or read book Within-lattice Nuclear Fuel Assembly Loading Optimization by Simulated Annealing written by Tong Guo and published by . This book was released on 1997 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study presents the development of an optimization engine applicable to light water reactor (LWR) fuel assembly loading design. The optimization technique employed is the simulated annealing (SA) algorithm, while the evaluation of design objectives and constraints is handled by coupling to the lattice-physics code CPM-2. The optimization control variables include the "pin-by-pin" placement and/or loading of nuclear fuel, burnable absorbers, or other material regions within a fuel assembly (e.g. water holes, guide tubes, etc.). Also, the designer can "freeze" any given region during the optimization, both in terms of location and/or composition. The objective functions presently available include the minimization of 235U enrichment or the minimization of pin power peaking, both of which can act as constraints to one another (via penalty-based or hard constraints).
Book Synopsis Multi-Objective Optimization in Chemical Engineering by : Gade Pandu Rangaiah
Download or read book Multi-Objective Optimization in Chemical Engineering written by Gade Pandu Rangaiah and published by John Wiley & Sons. This book was released on 2013-03-20 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: For reasons both financial and environmental, there is a perpetual need to optimize the design and operating conditions of industrial process systems in order to improve their performance, energy efficiency, profitability, safety and reliability. However, with most chemical engineering application problems having many variables with complex inter-relationships, meeting these optimization objectives can be challenging. This is where Multi-Objective Optimization (MOO) is useful to find the optimal trade-offs among two or more conflicting objectives. This book provides an overview of the recent developments and applications of MOO for modeling, design and operation of chemical, petrochemical, pharmaceutical, energy and related processes. It then covers important theoretical and computational developments as well as specific applications such as metabolic reaction networks, chromatographic systems, CO2 emissions targeting for petroleum refining units, ecodesign of chemical processes, ethanol purification and cumene process design. Multi-Objective Optimization in Chemical Engineering: Developments and Applications is an invaluable resource for researchers and graduate students in chemical engineering as well as industrial practitioners and engineers involved in process design, modeling and optimization.
Book Synopsis Proceedings of the ... Congress on Evolutionary Computation by :
Download or read book Proceedings of the ... Congress on Evolutionary Computation written by and published by . This book was released on 2004 with total page 1258 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Transactions of the American Nuclear Society by : American Nuclear Society
Download or read book Transactions of the American Nuclear Society written by American Nuclear Society and published by . This book was released on 2001 with total page 952 pages. Available in PDF, EPUB and Kindle. Book excerpt:
