Multi Objective Optimization Using Evolutionary Algorithms

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Multi-Objective Optimization using Evolutionary Algorithms

Author : Kalyanmoy Deb
Publisher : John Wiley & Sons
Page : 540 pages
File Size : 53,7 Mb
Release : 2001-07-05
Category : Mathematics
ISBN : 047187339X

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Multi-Objective Optimization using Evolutionary Algorithms by Kalyanmoy Deb Pdf

Optimierung mit mehreren Zielen, evolutionäre Algorithmen: Dieses Buch wendet sich vorrangig an Einsteiger, denn es werden kaum Vorkenntnisse vorausgesetzt. Geboten werden alle notwendigen Grundlagen, um die Theorie auf Probleme der Ingenieurtechnik, der Vorhersage und der Planung anzuwenden. Der Autor gibt auch einen Ausblick auf Forschungsaufgaben der Zukunft.

Evolutionary Multiobjective Optimization

Author : Ajith Abraham,Robert Goldberg
Publisher : Springer Science & Business Media
Page : 313 pages
File Size : 45,9 Mb
Release : 2005-09-05
Category : Computers
ISBN : 9781846281372

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Evolutionary Multiobjective Optimization by Ajith Abraham,Robert Goldberg Pdf

Evolutionary Multi-Objective Optimization is an expanding field of research. This book brings a collection of papers with some of the most recent advances in this field. The topic and content is currently very fashionable and has immense potential for practical applications and includes contributions from leading researchers in the field. Assembled in a compelling and well-organised fashion, Evolutionary Computation Based Multi-Criteria Optimization will prove beneficial for both academic and industrial scientists and engineers engaged in research and development and application of evolutionary algorithm based MCO. Packed with must-find information, this book is the first to comprehensively and clearly address the issue of evolutionary computation based MCO, and is an essential read for any researcher or practitioner of the technique.

Evolutionary Algorithms for Solving Multi-Objective Problems

Author : Carlos Coello Coello,Gary B. Lamont,David A. van Veldhuizen
Publisher : Springer Science & Business Media
Page : 810 pages
File Size : 42,9 Mb
Release : 2007-08-26
Category : Computers
ISBN : 9780387367972

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Evolutionary Algorithms for Solving Multi-Objective Problems by Carlos Coello Coello,Gary B. Lamont,David A. van Veldhuizen Pdf

This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems. It contains exhaustive appendices, index and bibliography and links to a complete set of teaching tutorials, exercises and solutions.

Recent Advances in Evolutionary Multi-objective Optimization

Author : Slim Bechikh,Rituparna Datta,Abhishek Gupta
Publisher : Springer
Page : 179 pages
File Size : 45,6 Mb
Release : 2016-08-09
Category : Technology & Engineering
ISBN : 9783319429786

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Recent Advances in Evolutionary Multi-objective Optimization by Slim Bechikh,Rituparna Datta,Abhishek Gupta Pdf

This book covers the most recent advances in the field of evolutionary multiobjective optimization. With the aim of drawing the attention of up-and coming scientists towards exciting prospects at the forefront of computational intelligence, the authors have made an effort to ensure that the ideas conveyed herein are accessible to the widest audience. The book begins with a summary of the basic concepts in multi-objective optimization. This is followed by brief discussions on various algorithms that have been proposed over the years for solving such problems, ranging from classical (mathematical) approaches to sophisticated evolutionary ones that are capable of seamlessly tackling practical challenges such as non-convexity, multi-modality, the presence of multiple constraints, etc. Thereafter, some of the key emerging aspects that are likely to shape future research directions in the field are presented. These include: optimization in dynamic environments, multi-objective bilevel programming, handling high dimensionality under many objectives, and evolutionary multitasking. In addition to theory and methodology, this book describes several real-world applications from various domains, which will expose the readers to the versatility of evolutionary multi-objective optimization.

Multi-objective Evolutionary Optimisation for Product Design and Manufacturing

Author : Lihui Wang,Amos H. C. Ng,Kalyanmoy Deb
Publisher : Springer Science & Business Media
Page : 502 pages
File Size : 45,9 Mb
Release : 2011-09-06
Category : Technology & Engineering
ISBN : 9780857296528

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Multi-objective Evolutionary Optimisation for Product Design and Manufacturing by Lihui Wang,Amos H. C. Ng,Kalyanmoy Deb Pdf

With the increasing complexity and dynamism in today’s product design and manufacturing, more optimal, robust and practical approaches and systems are needed to support product design and manufacturing activities. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing presents a focused collection of quality chapters on state-of-the-art research efforts in multi-objective evolutionary optimisation, as well as their practical applications to integrated product design and manufacturing. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing consists of two major sections. The first presents a broad-based review of the key areas of research in multi-objective evolutionary optimisation. The second gives in-depth treatments of selected methodologies and systems in intelligent design and integrated manufacturing. Recent developments and innovations in multi-objective evolutionary optimisation make Multi-objective Evolutionary Optimisation for Product Design and Manufacturing a useful text for a broad readership, from academic researchers to practicing engineers.

Applications of Multi-objective Evolutionary Algorithms

Author : Carlos A. Coello Coello,Gary B. Lamont
Publisher : World Scientific
Page : 792 pages
File Size : 46,5 Mb
Release : 2004
Category : Computers
ISBN : 9789812561060

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Applications of Multi-objective Evolutionary Algorithms by Carlos A. Coello Coello,Gary B. Lamont Pdf

- Detailed MOEA applications discussed by international experts - State-of-the-art practical insights in tackling statistical optimization with MOEAs - A unique monograph covering a wide spectrum of real-world applications - Step-by-step discussion of MOEA applications in a variety of domains

Genetic and Evolutionary Computation--GECCO 2003

Author : Erick Cantú-Paz
Publisher : Springer Science & Business Media
Page : 1294 pages
File Size : 53,5 Mb
Release : 2003-07-08
Category : Computers
ISBN : 9783540406020

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Genetic and Evolutionary Computation--GECCO 2003 by Erick Cantú-Paz Pdf

The set LNCS 2723 and LNCS 2724 constitutes the refereed proceedings of the Genetic and Evolutionaty Computation Conference, GECCO 2003, held in Chicago, IL, USA in July 2003. The 193 revised full papers and 93 poster papers presented were carefully reviewed and selected from a total of 417 submissions. The papers are organized in topical sections on a-life adaptive behavior, agents, and ant colony optimization; artificial immune systems; coevolution; DNA, molecular, and quantum computing; evolvable hardware; evolutionary robotics; evolution strategies and evolutionary programming; evolutionary sheduling routing; genetic algorithms; genetic programming; learning classifier systems; real-world applications; and search based softare engineering.

Evolutionary Optimization

Author : Ruhul Sarker,Masoud Mohammadian,Xin Yao
Publisher : Springer Science & Business Media
Page : 418 pages
File Size : 40,9 Mb
Release : 2006-04-11
Category : Business & Economics
ISBN : 9780306480416

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Evolutionary Optimization by Ruhul Sarker,Masoud Mohammadian,Xin Yao Pdf

Evolutionary computation techniques have attracted increasing att- tions in recent years for solving complex optimization problems. They are more robust than traditional methods based on formal logics or mathematical programming for many real world OR/MS problems. E- lutionary computation techniques can deal with complex optimization problems better than traditional optimization techniques. However, most papers on the application of evolutionary computation techniques to Operations Research /Management Science (OR/MS) problems have scattered around in different journals and conference proceedings. They also tend to focus on a very special and narrow topic. It is the right time that an archival book series publishes a special volume which - cludes critical reviews of the state-of-art of those evolutionary com- tation techniques which have been found particularly useful for OR/MS problems, and a collection of papers which represent the latest devel- ment in tackling various OR/MS problems by evolutionary computation techniques. This special volume of the book series on Evolutionary - timization aims at filling in this gap in the current literature. The special volume consists of invited papers written by leading - searchers in the field. All papers were peer reviewed by at least two recognised reviewers. The book covers the foundation as well as the practical side of evolutionary optimization.

Evolutionary Multi-Criterion Optimization

Author : Eckart Zitzler,Kalyanmoy Deb,Lothar Thiele,Carlos Coello Coello,David Corne
Publisher : Springer
Page : 714 pages
File Size : 48,5 Mb
Release : 2003-06-29
Category : Mathematics
ISBN : 9783540447191

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Evolutionary Multi-Criterion Optimization by Eckart Zitzler,Kalyanmoy Deb,Lothar Thiele,Carlos Coello Coello,David Corne Pdf

This book constitutes the refereed proceedings of the First International Conference on Multi-Criterion Optimization, EMO 2001, held in Zurich, Switzerland in March 2001. The 45 revised full papers presented were carefully reviewed and selected from a total of 87 submissions. Also included are two tutorial surveys and two invited papers. The book is organized in topical sections on algorithm improvements, performance assessment and comparison, constraint handling and problem decomposition, uncertainty and noise, hybrid and alternative methods, scheduling, and applications of multi-objective optimization in a variety of fields.

Optimization Using Evolutionary Algorithms and Metaheuristics

Author : Kaushik Kumar,J. Paulo Davim
Publisher : CRC Press
Page : 138 pages
File Size : 53,6 Mb
Release : 2019-08-22
Category : Technology & Engineering
ISBN : 9781000546804

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Optimization Using Evolutionary Algorithms and Metaheuristics by Kaushik Kumar,J. Paulo Davim Pdf

Metaheuristic optimization is a higher-level procedure or heuristic designed to find, generate, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem, especially with incomplete or imperfect information or limited computation capacity. This is usually applied when two or more objectives are to be optimized simultaneously. This book is presented with two major objectives. Firstly, it features chapters by eminent researchers in the field providing the readers about the current status of the subject. Secondly, algorithm-based optimization or advanced optimization techniques, which are applied to mostly non-engineering problems, are applied to engineering problems. This book will also serve as an aid to both research and industry. Usage of these methodologies would enable the improvement in engineering and manufacturing technology and support an organization in this era of low product life cycle. Features: Covers the application of recent and new algorithms Focuses on the development aspects such as including surrogate modeling, parallelization, game theory, and hybridization Presents the advances of engineering applications for both single-objective and multi-objective optimization problems Offers recent developments from a variety of engineering fields Discusses Optimization using Evolutionary Algorithms and Metaheuristics applications in engineering

Evolutionary Multi-Criterion Optimization

Author : Matthias Ehrgott,Carlos M. Fonseca,Xavier Gandibleux,Jin-Kao Hao,Marc Sevaux
Publisher : Springer Science & Business Media
Page : 599 pages
File Size : 41,7 Mb
Release : 2009-03-26
Category : Computers
ISBN : 9783642010194

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Evolutionary Multi-Criterion Optimization by Matthias Ehrgott,Carlos M. Fonseca,Xavier Gandibleux,Jin-Kao Hao,Marc Sevaux Pdf

This book constitutes the refereed proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2009, held in Nantes, France in April 2009. The 39 revised full papers presented together with 5 invited talks were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on theoretical analysis, uncertainty and noise, algorithm development, performance analysis and comparison, applications, MCDM Track, Many objectives, alternative methods, as well as EMO and MCDA.

Parallel Problem Solving from Nature-PPSN VI

Author : Marc Schoenauer
Publisher : Springer Science & Business Media
Page : 920 pages
File Size : 47,5 Mb
Release : 2000-09-06
Category : Computers
ISBN : 9783540410560

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Parallel Problem Solving from Nature-PPSN VI by Marc Schoenauer Pdf

This book constitutes the refereed proceedings of the 6th International Conference on Parallel Problem Solving from Nature, PPSN VI, held in Paris, France in September 2000. The 87 revised full papers presented together with two invited papers were carefully reviewed and selected from 168 submissions. The presentations are organized in topical sections on analysis and theory of evolutionary algorithms, genetic programming, scheduling, representations and operators, co-evolution, constraint handling techniques, noisy and non-stationary environments, combinatorial optimization, applications, machine learning and classifier systems, new algorithms and metaphors, and multiobjective optimization.

Evolutionary Multi-Criterion Optimization

Author : Carlos M. Fonseca
Publisher : Springer Science & Business Media
Page : 825 pages
File Size : 48,8 Mb
Release : 2003-04-07
Category : Business & Economics
ISBN : 9783540018698

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Evolutionary Multi-Criterion Optimization by Carlos M. Fonseca Pdf

This book constitutes the refereed proceedings of the Second International Conference on Evolutionary Multi-Criterion Optimization, EMO 2003, held in Faro, Portugal, in April 2003. The 56 revised full papers presented were carefully reviewed and selected from a total of 100 submissions. The papers are organized in topical sections on objective handling and problem decomposition, algorithm improvements, online adaptation, problem construction, performance analysis and comparison, alternative methods, implementation, and applications.

Evolutionary Multi-Criterion Optimization

Author : Shigeru Obayashi
Publisher : Springer Science & Business Media
Page : 972 pages
File Size : 40,9 Mb
Release : 2007-02-12
Category : Computers
ISBN : 9783540709275

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Evolutionary Multi-Criterion Optimization by Shigeru Obayashi Pdf

This book constitutes the refereed proceedings of the 4th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2007, held in Matsushima, Japan in March 2007. The 65 revised full papers presented together with 4 invited papers are organized in topical sections on algorithm design, algorithm improvements, alternative methods, applications, engineering design, many objectives, objective handling, and performance assessments.

Evolutionary Algorithms for Solving Multi-Objective Problems

Author : Carlos Coello Coello,Gary B. Lamont,David A. van Veldhuizen
Publisher : Springer Science & Business Media
Page : 810 pages
File Size : 52,6 Mb
Release : 2007-09-18
Category : Computers
ISBN : 9780387332543

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Evolutionary Algorithms for Solving Multi-Objective Problems by Carlos Coello Coello,Gary B. Lamont,David A. van Veldhuizen Pdf

This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems. It contains exhaustive appendices, index and bibliography and links to a complete set of teaching tutorials, exercises and solutions.