Essays And Surveys In Metaheuristics

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Essays and Surveys in Metaheuristics

Author : Celso C. Ribeiro
Publisher : Springer Science & Business Media
ISBN 13 : 1461515076
Total Pages : 647 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Essays and Surveys in Metaheuristics by : Celso C. Ribeiro

Download or read book Essays and Surveys in Metaheuristics written by Celso C. Ribeiro and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: Finding exact solutions to many combinatorial optimization problems in busi ness, engineering, and science still poses a real challenge, despite the impact of recent advances in mathematical programming and computer technology. New fields of applications, such as computational biology, electronic commerce, and supply chain management, bring new challenges and needs for algorithms and optimization techniques. Metaheuristics are master procedures that guide and modify the operations of subordinate heuristics, to produce improved approx imate solutions to hard optimization problems with respect to more simple algorithms. They also provide fast and robust tools, producing high-quality solutions in reasonable computation times. The field of metaheuristics has been fast evolving in recent years. Tech niques such as simulated annealing, tabu search, genetic algorithms, scatter search, greedy randomized adaptive search, variable neighborhood search, ant systems, and their hybrids are currently among the most efficient and robust optimization strategies to find high-quality solutions to many real-life optimiza tion problems. A very large nmnber of successful applications of metaheuristics are reported in the literature and spread throughout many books, journals, and conference proceedings. A series of international conferences entirely devoted to the theory, applications, and computational developments in metaheuristics has been attracting an increasing number of participants, from universities and the industry.

New Optimization Techniques in Engineering

Author : Godfrey C. Onwubolu
Publisher : Springer Science & Business Media
ISBN 13 : 9783540201670
Total Pages : 744 pages
Book Rating : 4.2/5 (16 download)

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Book Synopsis New Optimization Techniques in Engineering by : Godfrey C. Onwubolu

Download or read book New Optimization Techniques in Engineering written by Godfrey C. Onwubolu and published by Springer Science & Business Media. This book was released on 2004-01-21 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presently, general-purpose optimization techniques such as Simulated Annealing, and Genetic Algorithms, have become standard optimization techniques. Concerted research efforts have been made recently in order to invent novel optimization techniques for solving real life problems, which have the attributes of memory update and population-based search solutions. The book describes a variety of these novel optimization techniques which in most cases outperform the standard optimization techniques in many application areas. New Optimization Techniques in Engineering reports applications and results of the novel optimization techniques considering a multitude of practical problems in the different engineering disciplines – presenting both the background of the subject area and the techniques for solving the problems.

Handbook of Metaheuristics

Author : Michel Gendreau
Publisher : Springer
ISBN 13 : 3319910868
Total Pages : 611 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Handbook of Metaheuristics by : Michel Gendreau

Download or read book Handbook of Metaheuristics written by Michel Gendreau and published by Springer. This book was released on 2018-09-20 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Metaheuristics

Author : Fred W. Glover
Publisher : Springer Science & Business Media
ISBN 13 : 0306480565
Total Pages : 557 pages
Book Rating : 4.3/5 (64 download)

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Book Synopsis Handbook of Metaheuristics by : Fred W. Glover

Download or read book Handbook of Metaheuristics written by Fred W. Glover and published by Springer Science & Business Media. This book was released on 2006-04-11 with total page 557 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Hybrid Metaheuristics

Author : Christian Blum
Publisher : Springer
ISBN 13 : 3540782958
Total Pages : 290 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Hybrid Metaheuristics by : Christian Blum

Download or read book Hybrid Metaheuristics written by Christian Blum and published by Springer. This book was released on 2008-06-24 with total page 290 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.

Parallel Metaheuristics

Author : Enrique Alba
Publisher : John Wiley & Sons
ISBN 13 : 0471739375
Total Pages : 574 pages
Book Rating : 4.4/5 (717 download)

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Book Synopsis Parallel Metaheuristics by : Enrique Alba

Download or read book Parallel Metaheuristics written by Enrique Alba and published by John Wiley & Sons. This book was released on 2005-10-03 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: Solving complex optimization problems with parallel metaheuristics Parallel Metaheuristics brings together an international group of experts in parallelism and metaheuristics to provide a much-needed synthesis of these two fields. Readers discover how metaheuristic techniques can provide useful and practical solutions for a wide range of problems and application domains, with an emphasis on the fields of telecommunications and bioinformatics. This volume fills a long-existing gap, allowing researchers and practitioners to develop efficient metaheuristic algorithms to find solutions. The book is divided into three parts: * Part One: Introduction to Metaheuristics and Parallelism, including an Introduction to Metaheuristic Techniques, Measuring the Performance of Parallel Metaheuristics, New Technologies in Parallelism, and a head-to-head discussion on Metaheuristics and Parallelism * Part Two: Parallel Metaheuristic Models, including Parallel Genetic Algorithms, Parallel Genetic Programming, Parallel Evolution Strategies, Parallel Ant Colony Algorithms, Parallel Estimation of Distribution Algorithms, Parallel Scatter Search, Parallel Variable Neighborhood Search, Parallel Simulated Annealing, Parallel Tabu Search, Parallel GRASP, Parallel Hybrid Metaheuristics, Parallel Multi-Objective Optimization, and Parallel Heterogeneous Metaheuristics * Part Three: Theory and Applications, including Theory of Parallel Genetic Algorithms, Parallel Metaheuristics Applications, Parallel Metaheuristics in Telecommunications, and a final chapter on Bioinformatics and Parallel Metaheuristics Each self-contained chapter begins with clear overviews and introductions that bring the reader up to speed, describes basic techniques, and ends with a reference list for further study. Packed with numerous tables and figures to illustrate the complex theory and processes, this comprehensive volume also includes numerous practical real-world optimization problems and their solutions. This is essential reading for students and researchers in computer science, mathematics, and engineering who deal with parallelism, metaheuristics, and optimization in general.

Metaheuristics for Hard Optimization

Author : Johann Dréo
Publisher : Springer Science & Business Media
ISBN 13 : 3540309667
Total Pages : 372 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Metaheuristics for Hard Optimization by : Johann Dréo

Download or read book Metaheuristics for Hard Optimization written by Johann Dréo and published by Springer Science & Business Media. This book was released on 2006-01-16 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contains case studies from engineering and operations research Includes commented literature for each chapter

Metaheuristics:

Author : Toshihide Ibaraki
Publisher : Springer Science & Business Media
ISBN 13 : 0387253831
Total Pages : 419 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Metaheuristics: by : Toshihide Ibaraki

Download or read book Metaheuristics: written by Toshihide Ibaraki and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: Metaheuristics: Progress as Real Problem Solvers is a peer-reviewed volume of eighteen current, cutting-edge papers by leading researchers in the field. Included are an invited paper by F. Glover and G. Kochenberger, which discusses the concept of Metaheuristic agent processes, and a tutorial paper by M.G.C. Resende and C.C. Ribeiro discussing GRASP with path-relinking. Other papers discuss problem-solving approaches to timetabling, automated planograms, elevators, space allocation, shift design, cutting stock, flexible shop scheduling, colorectal cancer and cartography. A final group of methodology papers clarify various aspects of Metaheuristics from the computational view point.

Handbook of Metaheuristic Algorithms

Author : Chun-Wei Tsai
Publisher : Elsevier
ISBN 13 : 0443191093
Total Pages : 624 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Handbook of Metaheuristic Algorithms by : Chun-Wei Tsai

Download or read book Handbook of Metaheuristic Algorithms written by Chun-Wei Tsai and published by Elsevier. This book was released on 2023-05-30 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Metaheuristic Search Concepts

Author : Günther Zäpfel
Publisher : Springer Science & Business Media
ISBN 13 : 3642113435
Total Pages : 316 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Metaheuristic Search Concepts by : Günther Zäpfel

Download or read book Metaheuristic Search Concepts written by Günther Zäpfel and published by Springer Science & Business Media. This book was released on 2010-03-10 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: In many decision problems, e.g. from the area of production and logistics manage ment, the evaluation of alternatives and the determination of an optimal or at least suboptimal solution is an important but dif?cult task. For most such problems no ef?cient algorithm is known and classical approaches of Operations Research like Mixed Integer Linear Programming or Dynamic Pro gramming are often of limited use due to excessive computation time. Therefore, dedicated heuristic solution approaches have been developed which aim at providing good solutions in reasonable time for a given problem. However, such methods have two major drawbacks: First, they are tailored to a speci?c prob lem and their adaption to other problems is dif?cult and in many cases even impos sible. Second, they are typically designed to “build” one single solution in the most effective way, whereas most decision problems have a vast number of feasible solu tions. Hence usually the chances are high that there exist better ones. To overcome these limitations, problem independent search strategies, in particular metaheuris tics, have been proposed. This book provides an elementary step by step introduction to metaheuristics focusing on the search concepts they are based on. The ?rst part demonstrates un derlying concepts of search strategies using a simple example optimization problem.

Encyclopedia of Information Science and Technology, Third Edition

Author : Khosrow-Pour, Mehdi
Publisher : IGI Global
ISBN 13 : 1466658894
Total Pages : 10384 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Encyclopedia of Information Science and Technology, Third Edition by : Khosrow-Pour, Mehdi

Download or read book Encyclopedia of Information Science and Technology, Third Edition written by Khosrow-Pour, Mehdi and published by IGI Global. This book was released on 2014-07-31 with total page 10384 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This 10-volume compilation of authoritative, research-based articles contributed by thousands of researchers and experts from all over the world emphasized modern issues and the presentation of potential opportunities, prospective solutions, and future directions in the field of information science and technology"--Provided by publisher.

Metaheuristics

Author : Mauricio G.C. Resende
Publisher : Springer Science & Business Media
ISBN 13 : 1475741375
Total Pages : 707 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Metaheuristics by : Mauricio G.C. Resende

Download or read book Metaheuristics written by Mauricio G.C. Resende and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 707 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combinatorial optimization is the process of finding the best, or optimal, so lution for problems with a discrete set of feasible solutions. Applications arise in numerous settings involving operations management and logistics, such as routing, scheduling, packing, inventory and production management, lo cation, logic, and assignment of resources. The economic impact of combi natorial optimization is profound, affecting sectors as diverse as transporta tion (airlines, trucking, rail, and shipping), forestry, manufacturing, logistics, aerospace, energy (electrical power, petroleum, and natural gas), telecommu nications, biotechnology, financial services, and agriculture. While much progress has been made in finding exact (provably optimal) so lutions to some combinatorial optimization problems, using techniques such as dynamic programming, cutting planes, and branch and cut methods, many hard combinatorial problems are still not solved exactly and require good heuristic methods. Moreover, reaching "optimal solutions" is in many cases meaningless, as in practice we are often dealing with models that are rough simplifications of reality. The aim of heuristic methods for combinatorial op timization is to quickly produce good-quality solutions, without necessarily providing any guarantee of solution quality. Metaheuristics are high level procedures that coordinate simple heuristics, such as local search, to find solu tions that are of better quality than those found by the simple heuristics alone: Modem metaheuristics include simulated annealing, genetic algorithms, tabu search, GRASP, scatter search, ant colony optimization, variable neighborhood search, and their hybrids.

Metaheuristics

Author : El-Ghazali Talbi
Publisher : John Wiley & Sons
ISBN 13 : 0470496908
Total Pages : 625 pages
Book Rating : 4.4/5 (74 download)

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Book Synopsis Metaheuristics by : El-Ghazali Talbi

Download or read book Metaheuristics written by El-Ghazali Talbi and published by John Wiley & Sons. This book was released on 2009-05-27 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unified view of metaheuristics This book provides a complete background on metaheuristics and shows readers how to design and implement efficient algorithms to solve complex optimization problems across a diverse range of applications, from networking and bioinformatics to engineering design, routing, and scheduling. It presents the main design questions for all families of metaheuristics and clearly illustrates how to implement the algorithms under a software framework to reuse both the design and code. Throughout the book, the key search components of metaheuristics are considered as a toolbox for: Designing efficient metaheuristics (e.g. local search, tabu search, simulated annealing, evolutionary algorithms, particle swarm optimization, scatter search, ant colonies, bee colonies, artificial immune systems) for optimization problems Designing efficient metaheuristics for multi-objective optimization problems Designing hybrid, parallel, and distributed metaheuristics Implementing metaheuristics on sequential and parallel machines Using many case studies and treating design and implementation independently, this book gives readers the skills necessary to solve large-scale optimization problems quickly and efficiently. It is a valuable reference for practicing engineers and researchers from diverse areas dealing with optimization or machine learning; and graduate students in computer science, operations research, control, engineering, business and management, and applied mathematics.

Foundations of Computational Intelligence Volume 3

Author : Ajith Abraham
Publisher : Springer
ISBN 13 : 3642010857
Total Pages : 528 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Foundations of Computational Intelligence Volume 3 by : Ajith Abraham

Download or read book Foundations of Computational Intelligence Volume 3 written by Ajith Abraham and published by Springer. This book was released on 2009-05-01 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Global optimization is a branch of applied mathematics and numerical analysis that deals with the task of finding the absolutely best set of admissible conditions to satisfy certain criteria / objective function(s), formulated in mathematical terms. Global optimization includes nonlinear, stochastic and combinatorial programming, multiobjective programming, control, games, geometry, approximation, algorithms for parallel architectures and so on. Due to its wide usage and applications, it has gained the attention of researchers and practitioners from a plethora of scientific domains. Typical practical examples of global optimization applications include: Traveling salesman problem and electrical circuit design (minimize the path length); safety engineering (building and mechanical structures); mathematical problems (Kepler conjecture); Protein structure prediction (minimize the energy function) etc. Global Optimization algorithms may be categorized into several types: Deterministic (example: branch and bound methods), Stochastic optimization (example: simulated annealing). Heuristics and meta-heuristics (example: evolutionary algorithms) etc. Recently there has been a growing interest in combining global and local search strategies to solve more complicated optimization problems. This edited volume comprises 17 chapters, including several overview Chapters, which provides an up-to-date and state-of-the art research covering the theory and algorithms of global optimization. Besides research articles and expository papers on theory and algorithms of global optimization, papers on numerical experiments and on real world applications were also encouraged. The book is divided into 2 main parts.

Metaheuristics

Author : Karl F. Doerner
Publisher : Springer Science & Business Media
ISBN 13 : 0387719210
Total Pages : 409 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Metaheuristics by : Karl F. Doerner

Download or read book Metaheuristics written by Karl F. Doerner and published by Springer Science & Business Media. This book was released on 2007-08-13 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book’s aim is to provide several different kinds of information: a delineation of general metaheuristics methods, a number of state-of-the-art articles from a variety of well-known classical application areas as well as an outlook to modern computational methods in promising new areas. Therefore, this book may equally serve as a textbook in graduate courses for students, as a reference book for people interested in engineering or social sciences, and as a collection of new and promising avenues for researchers working in this field.

Metaheuristics

Author : Patrick Siarry
Publisher : Springer
ISBN 13 : 331945403X
Total Pages : 489 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Metaheuristics by : Patrick Siarry

Download or read book Metaheuristics written by Patrick Siarry and published by Springer. This book was released on 2016-12-24 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: Metaheuristics exhibit desirable properties like simplicity, easy parallelizability, and ready applicability to different types of optimization problems. After a comprehensive introduction to the field, the contributed chapters in this book include explanations of the main metaheuristics techniques, including simulated annealing, tabu search, evolutionary algorithms, artificial ants, and particle swarms, followed by chapters that demonstrate their applications to problems such as multiobjective optimization, logistics, vehicle routing, and air traffic management. The authors are leading researchers in this domain, with considerable teaching and applications experience, and the book will be of value to industrial practitioners, graduate students, and research academics.

Metaheuristics

Author : Luca Di Gaspero
Publisher : Springer Nature
ISBN 13 : 3031265041
Total Pages : 586 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Metaheuristics by : Luca Di Gaspero

Download or read book Metaheuristics written by Luca Di Gaspero and published by Springer Nature. This book was released on 2023-02-22 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th International Conference on Metaheuristics, MIC 2022, held in Syracuse, Italy, in July 2022. The 48 full papers together with 17 short papers presented were carefully reviewed and selected from 72 submissions. The papers detail metaheuristic techniques. Chapter “Evaluating the Effects of Chaos in Variable Neighbourhood Search” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.