Handbook Of Metaheuristic Algorithms

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Handbook of Metaheuristic Algorithms

Chun-Wei Tsai,Ming-Chao Chiang
Handbook of Metaheuristic Algorithms Book PDF

Author : Chun-Wei Tsai,Ming-Chao Chiang
Publisher : Elsevier
Page : 624 pages
File Size : 55,5 Mb
Release : 2023-05-30
Category : Computers
ISBN : 9780443191091

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Handbook of Metaheuristic Algorithms by Chun-Wei Tsai,Ming-Chao Chiang Pdf

Handbook of Metaheuristic Algorithms: From Fundamental Theories to Advanced Applications provides a brief introduction to metaheuristic algorithms from the ground up, including basic ideas and advanced solutions. Although readers may be able to find source code for some metaheuristic algorithms on the Internet, the coding styles and explanations are generally quite different, and thus requiring expanded knowledge between theory and implementation. This book can also help students and researchers construct an integrated perspective of metaheuristic and unsupervised algorithms for artificial intelligence research in computer science and applied engineering domains. Metaheuristic algorithms can be considered the epitome of unsupervised learning algorithms for the optimization of engineering and artificial intelligence problems, including simulated annealing (SA), tabu search (TS), genetic algorithm (GA), ant colony optimization (ACO), particle swarm optimization (PSO), differential evolution (DE), and others. Distinct from most supervised learning algorithms that need labeled data to learn and construct determination models, metaheuristic algorithms inherit characteristics of unsupervised learning algorithms used for solving complex engineering optimization problems without labeled data, just like self-learning, to find solutions to complex problems. Presents a unified framework for metaheuristics and describes well-known algorithms and their variants Introduces fundamentals and advanced topics for solving engineering optimization problems, e.g., scheduling problems, sensors deployment problems, and clustering problems Includes source code based on the unified framework for metaheuristics used as examples to show how TS, SA, GA, ACO, PSO, DE, parallel metaheuristic algorithm, hybrid metaheuristic, local search, and other advanced technologies are realized in programming languages such as C++ and Python

Handbook of Metaheuristics

Fred W. Glover,Gary A. Kochenberger
Handbook of Metaheuristics Book PDF

Author : Fred W. Glover,Gary A. Kochenberger
Publisher : Springer Science & Business Media
Page : 557 pages
File Size : 55,5 Mb
Release : 2006-04-11
Category : Mathematics
ISBN : 9780306480560

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Handbook of Metaheuristics by Fred W. Glover,Gary A. Kochenberger Pdf

This book provides both the research and practitioner communities with a comprehensive coverage of the metaheuristic methodologies that have proven to be successful in a wide variety of real-world problem settings. Moreover, it is these metaheuristic strategies that hold particular promise for success in the future. The various chapters serve as stand alone presentations giving both the necessary background underpinnings as well as practical guides for implementation.

Handbook of AI-based Metaheuristics

Anand J. Kulkarni,Patrick Siarry
Handbook of AI based Metaheuristics Book PDF

Author : Anand J. Kulkarni,Patrick Siarry
Publisher : CRC Press
Page : 584 pages
File Size : 55,6 Mb
Release : 2021-09-01
Category : Computers
ISBN : 9781000434255

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Handbook of AI-based Metaheuristics by Anand J. Kulkarni,Patrick Siarry Pdf

At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.

Handbook of Approximation Algorithms and Metaheuristics

Teofilo F. Gonzalez
Handbook of Approximation Algorithms and Metaheuristics Book PDF

Author : Teofilo F. Gonzalez
Publisher : CRC Press
Page : 1434 pages
File Size : 40,8 Mb
Release : 2007-05-15
Category : Computers
ISBN : 9781420010749

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Handbook of Approximation Algorithms and Metaheuristics by Teofilo F. Gonzalez Pdf

Delineating the tremendous growth in this area, the Handbook of Approximation Algorithms and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical applications. It is the first book to comprehensively study both approximation algorithms and metaheuristics. Starting with basic approaches, the handbook presents the methodologies to design and analyze efficient approximation algorithms for a large class of problems, and to establish inapproximability results for another class of problems. It also discusses local search, neural networks, and metaheuristics, as well as multiobjective problems, sensitivity analysis, and stability. After laying this foundation, the book applies the methodologies to classical problems in combinatorial optimization, computational geometry, and graph problems. In addition, it explores large-scale and emerging applications in networks, bioinformatics, VLSI, game theory, and data analysis. Undoubtedly sparking further developments in the field, this handbook provides the essential techniques to apply approximation algorithms and metaheuristics to a wide range of problems in computer science, operations research, computer engineering, and economics. Armed with this information, researchers can design and analyze efficient algorithms to generate near-optimal solutions for a wide range of computational intractable problems.

Handbook of Metaheuristics

Michel Gendreau,Jean-Yves Potvin
Handbook of Metaheuristics Book PDF

Author : Michel Gendreau,Jean-Yves Potvin
Publisher : Springer
Page : 611 pages
File Size : 43,9 Mb
Release : 2018-09-20
Category : Business & Economics
ISBN : 9783319910864

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Handbook of Metaheuristics by Michel Gendreau,Jean-Yves Potvin Pdf

The third edition of this handbook is designed to provide a broad coverage of the concepts, implementations, and applications in metaheuristics. The book’s chapters serve as stand-alone presentations giving both the necessary underpinnings as well as practical guides for implementation. The nature of metaheuristics invites an analyst to modify basic methods in response to problem characteristics, past experiences, and personal preferences, and the chapters in this handbook are designed to facilitate this process as well. This new edition has been fully revised and features new chapters on swarm intelligence and automated design of metaheuristics from flexible algorithm frameworks. The authors who have contributed to this volume represent leading figures from the metaheuristic community and are responsible for pioneering contributions to the fields they write about. Their collective work has significantly enriched the field of optimization in general and combinatorial optimization in particular.Metaheuristics are solution methods that orchestrate an interaction between local improvement procedures and higher level strategies to create a process capable of escaping from local optima and performing a robust search of a solution space. In addition, many new and exciting developments and extensions have been observed in the last few years. Hybrids of metaheuristics with other optimization techniques, like branch-and-bound, mathematical programming or constraint programming are also increasingly popular. On the front of applications, metaheuristics are now used to find high-quality solutions to an ever-growing number of complex, ill-defined real-world problems, in particular combinatorial ones. This handbook should continue to be a great reference for researchers, graduate students, as well as practitioners interested in metaheuristics.

Handbook of Heuristics

Rafael Cunquero Martí,Panos M. Pardalos,Mauricio G. C. Resende
Handbook of Heuristics Book PDF

Author : Rafael Cunquero Martí,Panos M. Pardalos,Mauricio G. C. Resende
Publisher : Unknown
Page : 128 pages
File Size : 52,7 Mb
Release : 2018
Category : Algorithms
ISBN : 1787852296

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Handbook of Heuristics by Rafael Cunquero Martí,Panos M. Pardalos,Mauricio G. C. Resende Pdf

Heuristics are strategies using readily accessible, loosely applicable information to control problem solving. Algorithms, for example, are a type of heuristic. By contrast, Metaheuristics are methods used to design Heuristics and may coordinate the usage of several Heuristics toward the formulation of a single method.

Handbook of Approximation Algorithms and Metaheuristics, Second Edition

Teofilo F. Gonzalez
Handbook of Approximation Algorithms and Metaheuristics Second Edition Book PDF

Author : Teofilo F. Gonzalez
Publisher : Unknown
Page : 128 pages
File Size : 54,9 Mb
Release : 2018
Category : Electronic
ISBN : 1498770185

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Handbook of Approximation Algorithms and Metaheuristics, Second Edition by Teofilo F. Gonzalez Pdf

"Handbook of Approximation Algorithms and Metaheuristics, Second Edition reflects the tremendous growth in the field, over the past two decades. Through contributions from leading experts, this handbook provides a comprehensive introduction to the underlying theory and methodologies, as well as the various applications of approximation algorithms and metaheuristics. Volume 1 of this two-volume set deals primarily with methodologies and traditional applications. It includes restriction, relaxation, local ratio, approximation schemes, randomization, tabu search, evolutionary computation, local search, neural networks, and other metaheuristics. It also explores multi-objective optimization, reoptimization, sensitivity analysis, and stability. Traditional applications covered include: bin packing, multi-dimensional packing, Steiner trees, traveling salesperson, scheduling, and related problems. Volume 2 focuses on the contemporary and emerging applications of methodologies to problems in combinatorial optimization, computational geometry and graphs problems, as well as in large-scale and emerging application areas. It includes approximation algorithms and heuristics for clustering, networks (sensor and wireless), communication, bioinformatics search, streams, virtual communities, and more. About the EditorTeofilo F. Gonzalez is a professor emeritus of computer science at the University of California, Santa Barbara. He completed his Ph. D. in 1975 from the University of Minnesota. He taught at the University of Oklahoma, the Pennsylvania State University, and the University of Texas at Dallas, before joining the UCSB computer science faculty in 1984. He spent sabbatical leaves at the Monterrey Institute of Technology and Higher Education and Utrecht University. He is known for his highly cited pioneering research in the hardness of approximation; for his sublinear and best possible approximation algorithm for k-tMM clustering; for introducing the open-shop scheduling problem as well as algorithms for its solution that have found applications in numerous research areas; as well as for his research on problems in the areas of scheduling, graph, computational geometry, communication, routing, etc."--Provided by publisher.

Handbook of Approximation Algorithms and Metaheuristics, Second Edition

Teofilo F. Gonzalez
Handbook of Approximation Algorithms and Metaheuristics Second Edition Book PDF

Author : Teofilo F. Gonzalez
Publisher : Unknown
Page : 0 pages
File Size : 51,7 Mb
Release : 2020-09-30
Category : Electronic
ISBN : 0367570289

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Handbook of Approximation Algorithms and Metaheuristics, Second Edition by Teofilo F. Gonzalez Pdf

This handbook reflects the tremendous growth in the field, over the past two decades. Through contributions from leading experts, this handbook provides a comprehensive introduction to the underlying theory and methodologies, as well as the various applications of approximation algorithms and metaheuristics.

Handbook of Approximation Algorithms and Metaheuristics

Teofilo F. Gonzalez
Handbook of Approximation Algorithms and Metaheuristics Book PDF

Author : Teofilo F. Gonzalez
Publisher : CRC Press
Page : 726 pages
File Size : 44,7 Mb
Release : 2018-05-15
Category : Computers
ISBN : 9781351235402

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Handbook of Approximation Algorithms and Metaheuristics by Teofilo F. Gonzalez Pdf

Handbook of Approximation Algorithms and Metaheuristics, Second Edition reflects the tremendous growth in the field, over the past two decades. Through contributions from leading experts, this handbook provides a comprehensive introduction to the underlying theory and methodologies, as well as the various applications of approximation algorithms and metaheuristics. Volume 1 of this two-volume set deals primarily with methodologies and traditional applications. It includes restriction, relaxation, local ratio, approximation schemes, randomization, tabu search, evolutionary computation, local search, neural networks, and other metaheuristics. It also explores multi-objective optimization, reoptimization, sensitivity analysis, and stability. Traditional applications covered include: bin packing, multi-dimensional packing, Steiner trees, traveling salesperson, scheduling, and related problems. Volume 2 focuses on the contemporary and emerging applications of methodologies to problems in combinatorial optimization, computational geometry and graphs problems, as well as in large-scale and emerging application areas. It includes approximation algorithms and heuristics for clustering, networks (sensor and wireless), communication, bioinformatics search, streams, virtual communities, and more. About the Editor Teofilo F. Gonzalez is a professor emeritus of computer science at the University of California, Santa Barbara. He completed his Ph.D. in 1975 from the University of Minnesota. He taught at the University of Oklahoma, the Pennsylvania State University, and the University of Texas at Dallas, before joining the UCSB computer science faculty in 1984. He spent sabbatical leaves at the Monterrey Institute of Technology and Higher Education and Utrecht University. He is known for his highly cited pioneering research in the hardness of approximation; for his sublinear and best possible approximation algorithm for k-tMM clustering; for introducing the open-shop scheduling problem as well as algorithms for its solution that have found applications in numerous research areas; as well as for his research on problems in the areas of job scheduling, graph algorithms, computational geometry, message communication, wire routing, etc.

Handbook of Approximation Algorithms and Metaheuristics, Second Edition

Teofilo F. Gonzalez
Handbook of Approximation Algorithms and Metaheuristics Second Edition Book PDF

Author : Teofilo F. Gonzalez
Publisher : Unknown
Page : 798 pages
File Size : 47,6 Mb
Release : 2018
Category : Data mining
ISBN : OCLC:1166364229

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Handbook of Approximation Algorithms and Metaheuristics, Second Edition by Teofilo F. Gonzalez Pdf

Through contributions from leading experts, this book provides a comprehensive introduction to the underlying theory and methodologies, as well as the various applications of approximation algorithms and metaheuristics. --

Multi-Objective Optimization in Theory and Practice II: Metaheuristic Algorithms

André A. Keller
Multi Objective Optimization in Theory and Practice II Metaheuristic Algorithms Book PDF

Author : André A. Keller
Publisher : Bentham Science Publishers
Page : 310 pages
File Size : 55,5 Mb
Release : 2019-03-28
Category : Mathematics
ISBN : 9781681087061

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Multi-Objective Optimization in Theory and Practice II: Metaheuristic Algorithms by André A. Keller Pdf

Multi-Objective Optimization in Theory and Practice is a simplified two-part approach to multi-objective optimization (MOO) problems. This second part focuses on the use of metaheuristic algorithms in more challenging practical cases. The book includes ten chapters that cover several advanced MOO techniques. These include the determination of Pareto-optimal sets of solutions, metaheuristic algorithms, genetic search algorithms and evolution strategies, decomposition algorithms, hybridization of different metaheuristics, and many-objective (more than three objectives) optimization and parallel computation. The final section of the book presents information about the design and types of fifty test problems for which the Pareto-optimal front is approximated. For each of them, the package NSGA-II is used to approximate the Pareto-optimal front. It is an essential handbook for students and teachers involved in advanced optimization courses in engineering, information science and mathematics degree programs.

Handbook of Research on Metaheuristics for Order Picking Optimization in Warehouses to Smart Cities

Ochoa Ortiz-Zezzatti, Alberto,Rivera, Gilberto,Gómez-Santillán, Claudia,Sánchez–Lara, Benito
Handbook of Research on Metaheuristics for Order Picking Optimization in Warehouses to Smart Cities Book PDF

Author : Ochoa Ortiz-Zezzatti, Alberto,Rivera, Gilberto,Gómez-Santillán, Claudia,Sánchez–Lara, Benito
Publisher : IGI Global
Page : 498 pages
File Size : 45,9 Mb
Release : 2019-04-05
Category : Business & Economics
ISBN : 9781522581321

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Handbook of Research on Metaheuristics for Order Picking Optimization in Warehouses to Smart Cities by Ochoa Ortiz-Zezzatti, Alberto,Rivera, Gilberto,Gómez-Santillán, Claudia,Sánchez–Lara, Benito Pdf

Building accurate algorithms for the optimization of picking orders is a difficult task, especially when one considers the delays of real-world situations. In warehouse environments, diverse algorithms must be developed to enhance the global performance relating to combining customer orders into picking orders to reduce wait times. The Handbook of Research on Metaheuristics for Order Picking Optimization in Warehouses to Smart Cities is a pivotal reference source that addresses strategies for developing able algorithms in order to build better picking orders and the impact of these strategies on the picking systems in which diverse algorithms are implemented. While highlighting topics such ABC optimization, environmental intelligence, and order batching, this publication examines common picking aspects in warehouse environments ranging from manual order picking systems to automated retrieval systems. This book is intended for researchers, teachers, engineers, managers, and practitioners seeking research on algorithms to enhance the order picking performance.

Comprehensive Metaheuristics

Seyedali Mirjalili,Amir Hossein Gandomi
Comprehensive Metaheuristics Book PDF

Author : Seyedali Mirjalili,Amir Hossein Gandomi
Publisher : Elsevier
Page : 468 pages
File Size : 51,7 Mb
Release : 2023-01-31
Category : Computers
ISBN : 9780323972673

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Comprehensive Metaheuristics by Seyedali Mirjalili,Amir Hossein Gandomi Pdf

Comprehensive Metaheuristics: Algorithms and Applications presents the foundational underpinnings of metaheuristics and a broad scope of algorithms and real-world applications across a variety of research fields. The book starts with fundamentals, mathematical prerequisites, and conceptual approaches to provide readers with a solid foundation. After presenting multi-objective optimization, constrained optimization, and problem formation for metaheuristics, world-renowned authors give readers in-depth understanding of the full spectrum of algorithms and techniques. Scientists, researchers, academicians, and practitioners who are interested in optimizing a process or procedure to achieve a goal will benefit from the case studies of real-world applications from different domains. The book takes a much-needed holistic approach, putting the most widely used metaheuristic algorithms together with an in-depth treatise on multi-disciplinary applications of metaheuristics. Each algorithm is thoroughly analyzed to observe its behavior, providing a detailed tutorial on how to solve problems using metaheuristics. New case studies and research problem statements are also discussed, which will help researchers in their application of the concepts. Presented by world-renowned researchers and practitioners in metaheuristics Includes techniques, algorithms, and applications based on real-world case studies Presents the methodology for formulating optimization problems for metaheuristics Provides readers with methods for analyzing and tuning the performance of a metaheuristic, as well as for integrating metaheuristics in other AI techniques Features online complementary source code from the applications and algorithms

Advances in Metaheuristic Algorithms for Optimal Design of Structures

Ali Kaveh
Advances in Metaheuristic Algorithms for Optimal Design of Structures Book PDF

Author : Ali Kaveh
Publisher : Springer Nature
Page : 890 pages
File Size : 52,5 Mb
Release : 2021-01-21
Category : Technology & Engineering
ISBN : 9783030593926

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Advances in Metaheuristic Algorithms for Optimal Design of Structures by Ali Kaveh Pdf

This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the author and his graduate students, consisting of Particle Swarm Optimization, Charged System Search, Magnetic Charged System Search, Field of Forces Optimization, Democratic Particle Swarm Optimization, Dolphin Echolocation Optimization, Colliding Bodies Optimization, Ray Optimization. These are presented together with algorithms which are developed by other authors and have been successfully applied to various optimization problems. These consist of Partical Swarm Optimization, Big Band Big Crunch algorithm, Cuckoo Search Optimization, Imperialist Competitive Algorithm and Chaos Embedded Metaheuristic Algorithm. Finally a multi-objective Optimization is presented to Solve large scale structural problems based on the Charged System Search algorithm, In the second edition seven new chapters are added consisting of Enhance colliding bodies optimization, Global sensitivity analysis, Tug of War Optimization, Water evaporation optimization, Vibrating System Optimization and Cyclical Parthenogenesis Optimization algorithm. In the third edition, five new chapters are included consisting of the recently developed algorithms. These are Shuffled Shepherd Optimization Algorithm, Set Theoretical Shuffled Shepherd Optimization Algorithm, Set Theoretical Teaching-Learning-Based Optimization Algorithm, Thermal Exchange Metaheuristic Optimization Algorithm, and Water Strider Optimization Algorithm and Its Enhancement. The concepts and algorithm presented in this book are not only applicable to optimization of skeletal structure, finite element models, but can equally be utilized for optimal design of other systems such as hydraulic and electrical networks.

Handbook of Approximation Algorithms and Metaheuristics

Teofilo F. Gonzalez
Handbook of Approximation Algorithms and Metaheuristics Book PDF

Author : Teofilo F. Gonzalez
Publisher : CRC Press
Page : 798 pages
File Size : 53,8 Mb
Release : 2018-05-15
Category : Computers
ISBN : 9781351236416

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Handbook of Approximation Algorithms and Metaheuristics by Teofilo F. Gonzalez Pdf

Handbook of Approximation Algorithms and Metaheuristics, Second Edition reflects the tremendous growth in the field, over the past two decades. Through contributions from leading experts, this handbook provides a comprehensive introduction to the underlying theory and methodologies, as well as the various applications of approximation algorithms and metaheuristics. Volume 1 of this two-volume set deals primarily with methodologies and traditional applications. It includes restriction, relaxation, local ratio, approximation schemes, randomization, tabu search, evolutionary computation, local search, neural networks, and other metaheuristics. It also explores multi-objective optimization, reoptimization, sensitivity analysis, and stability. Traditional applications covered include: bin packing, multi-dimensional packing, Steiner trees, traveling salesperson, scheduling, and related problems. Volume 2 focuses on the contemporary and emerging applications of methodologies to problems in combinatorial optimization, computational geometry and graphs problems, as well as in large-scale and emerging application areas. It includes approximation algorithms and heuristics for clustering, networks (sensor and wireless), communication, bioinformatics search, streams, virtual communities, and more. About the Editor Teofilo F. Gonzalez is a professor emeritus of computer science at the University of California, Santa Barbara. He completed his Ph.D. in 1975 from the University of Minnesota. He taught at the University of Oklahoma, the Pennsylvania State University, and the University of Texas at Dallas, before joining the UCSB computer science faculty in 1984. He spent sabbatical leaves at the Monterrey Institute of Technology and Higher Education and Utrecht University. He is known for his highly cited pioneering research in the hardness of approximation; for his sublinear and best possible approximation algorithm for k-tMM clustering; for introducing the open-shop scheduling problem as well as algorithms for its solution that have found applications in numerous research areas; as well as for his research on problems in the areas of job scheduling, graph algorithms, computational geometry, message communication, wire routing, etc.