Genetic Algorithms And Fuzzy Multiobjective Optimization

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Genetic Algorithms and Fuzzy Multiobjective Optimization

Masatoshi Sakawa
Genetic Algorithms and Fuzzy Multiobjective Optimization Book PDF

Author : Masatoshi Sakawa
Publisher : Springer Science & Business Media
Page : 294 pages
File Size : 55,7 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461515197

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Genetic Algorithms and Fuzzy Multiobjective Optimization by Masatoshi Sakawa Pdf

Since the introduction of genetic algorithms in the 1970s, an enormous number of articles together with several significant monographs and books have been published on this methodology. As a result, genetic algorithms have made a major contribution to optimization, adaptation, and learning in a wide variety of unexpected fields. Over the years, many excellent books in genetic algorithm optimization have been published; however, they focus mainly on single-objective discrete or other hard optimization problems under certainty. There appears to be no book that is designed to present genetic algorithms for solving not only single-objective but also fuzzy and multiobjective optimization problems in a unified way. Genetic Algorithms And Fuzzy Multiobjective Optimization introduces the latest advances in the field of genetic algorithm optimization for 0-1 programming, integer programming, nonconvex programming, and job-shop scheduling problems under multiobjectiveness and fuzziness. In addition, the book treats a wide range of actual real world applications. The theoretical material and applications place special stress on interactive decision-making aspects of fuzzy multiobjective optimization for human-centered systems in most realistic situations when dealing with fuzziness. The intended readers of this book are senior undergraduate students, graduate students, researchers, and practitioners in the fields of operations research, computer science, industrial engineering, management science, systems engineering, and other engineering disciplines that deal with the subjects of multiobjective programming for discrete or other hard optimization problems under fuzziness. Real world research applications are used throughout the book to illustrate the presentation. These applications are drawn from complex problems. Examples include flexible scheduling in a machine center, operation planning of district heating and cooling plants, and coal purchase planning in an actual electric power plant.

Evolutionary Algorithms for Solving Multi-Objective Problems

Carlos Coello Coello,David A. Van Veldhuizen,Gary B. Lamont
Evolutionary Algorithms for Solving Multi Objective Problems Book PDF

Author : Carlos Coello Coello,David A. Van Veldhuizen,Gary B. Lamont
Publisher : Springer Science & Business Media
Page : 600 pages
File Size : 42,8 Mb
Release : 2013-03-09
Category : Computers
ISBN : 9781475751840

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

Researchers and practitioners alike are increasingly turning to search, op timization, and machine-learning procedures based on natural selection and natural genetics to solve problems across the spectrum of human endeavor. These genetic algorithms and techniques of evolutionary computation are solv ing problems and inventing new hardware and software that rival human designs. The Kluwer Series on Genetic Algorithms and Evolutionary Computation pub lishes research monographs, edited collections, and graduate-level texts in this rapidly growing field. Primary areas of coverage include the theory, implemen tation, and application of genetic algorithms (GAs), evolution strategies (ESs), evolutionary programming (EP), learning classifier systems (LCSs) and other variants of genetic and evolutionary computation (GEC). The series also pub lishes texts in related fields such as artificial life, adaptive behavior, artificial immune systems, agent-based systems, neural computing, fuzzy systems, and quantum computing as long as GEC techniques are part of or inspiration for the system being described. This encyclopedic volume on the use of the algorithms of genetic and evolu tionary computation for the solution of multi-objective problems is a landmark addition to the literature that comes just in the nick of time. Multi-objective evolutionary algorithms (MOEAs) are receiving increasing and unprecedented attention. Researchers and practitioners are finding an irresistible match be tween the popUlation available in most genetic and evolutionary algorithms and the need in multi-objective problems to approximate the Pareto trade-off curve or surface.

Evolutionary Multiobjective Optimization

Ajith Abraham,Robert Goldberg
Evolutionary Multiobjective Optimization Book PDF

Author : Ajith Abraham,Robert Goldberg
Publisher : Springer Science & Business Media
Page : 313 pages
File Size : 46,8 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.

Genetic Algorithms and Engineering Optimization

Mitsuo Gen,Runwei Cheng
Genetic Algorithms and Engineering Optimization Book PDF

Author : Mitsuo Gen,Runwei Cheng
Publisher : John Wiley & Sons
Page : 520 pages
File Size : 46,9 Mb
Release : 1999-12-28
Category : Technology & Engineering
ISBN : 0471315311

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Genetic Algorithms and Engineering Optimization by Mitsuo Gen,Runwei Cheng Pdf

Im Mittelpunkt dieses Buches steht eines der wichtigsten Optimierungsverfahren der industriellen Ingenieurtechnik: Mit Hilfe genetischer Algorithmen lassen sich Qualität, Design und Zuverlässigkeit von Produkten entscheidend verbessern. Das Verfahren beruht auf der Wahrscheinlichkeitstheorie und lehnt sich an die Prinzipien der biologischen Vererbung an: Die Eigenschaften des Produkts werden, unter Beachtung der äußeren Randbedingungen, schrittweise optimiert. Ein hochaktueller Band international anerkannter Autoren. (03/00)

Evolutionary Algorithms for Solving Multi-Objective Problems

Carlos Coello Coello,Gary B. Lamont,David A. van Veldhuizen
Evolutionary Algorithms for Solving Multi Objective Problems Book PDF

Author : Carlos Coello Coello,Gary B. Lamont,David A. van Veldhuizen
Publisher : Springer Science & Business Media
Page : 810 pages
File Size : 43,5 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.

Multi-Objective Optimization

Jyotsna K. Mandal,Somnath Mukhopadhyay,Paramartha Dutta
Multi Objective Optimization Book PDF

Author : Jyotsna K. Mandal,Somnath Mukhopadhyay,Paramartha Dutta
Publisher : Springer
Page : 318 pages
File Size : 50,7 Mb
Release : 2018-08-18
Category : Computers
ISBN : 9789811314711

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Multi-Objective Optimization by Jyotsna K. Mandal,Somnath Mukhopadhyay,Paramartha Dutta Pdf

This book brings together the latest findings on efficient solutions of multi/many-objective optimization problems from the leading researchers in the field. The focus is on solving real-world optimization problems using strategies ranging from evolutionary to hybrid frameworks, and involving various computation platforms. The topics covered include solution frameworks using evolutionary to hybrid models in application areas like Analytics, Cancer Research, Traffic Management, Networks and Communications, E-Governance, Quantum Technology, Image Processing, etc. As such, the book offers a valuable resource for all postgraduate students and researchers interested in exploring solution frameworks for multi/many-objective optimization problems.

Evolutionary Multi-Criterion Optimization

Eckart Zitzler,Kalyanmoy Deb,Lothar Thiele,Carlos Coello Coello,David Corne
Evolutionary Multi Criterion Optimization Book PDF

Author : Eckart Zitzler,Kalyanmoy Deb,Lothar Thiele,Carlos Coello Coello,David Corne
Publisher : Springer
Page : 714 pages
File Size : 45,7 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.

Evolutionary Multi-Criterion Optimization

Carlos A. Coello Coello
Evolutionary Multi Criterion Optimization Book PDF

Author : Carlos A. Coello Coello
Publisher : Springer Science & Business Media
Page : 927 pages
File Size : 41,8 Mb
Release : 2005-02-17
Category : Computers
ISBN : 9783540249832

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Evolutionary Multi-Criterion Optimization by Carlos A. Coello Coello Pdf

This book constitutes the refereed proceedings of the Third International Conference on Evolutionary Multi-Criterion Optimization, EMO 2005, held in Guanajuato, Mexico, in March 2005. The 59 revised full papers presented together with 2 invited papers and the summary of a tutorial were carefully reviewed and selected from the 115 papers submitted. The papers are organized in topical sections on algorithm improvements, incorporation of preferences, performance analysis and comparison, uncertainty and noise, alternative methods, and applications in a broad variety of fields.

Multiobjective Genetic Algorithms for Clustering

Ujjwal Maulik,Sanghamitra Bandyopadhyay,Anirban Mukhopadhyay
Multiobjective Genetic Algorithms for Clustering Book PDF

Author : Ujjwal Maulik,Sanghamitra Bandyopadhyay,Anirban Mukhopadhyay
Publisher : Springer Science & Business Media
Page : 292 pages
File Size : 54,8 Mb
Release : 2011-09-01
Category : Computers
ISBN : 9783642166150

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Multiobjective Genetic Algorithms for Clustering by Ujjwal Maulik,Sanghamitra Bandyopadhyay,Anirban Mukhopadhyay Pdf

This is the first book primarily dedicated to clustering using multiobjective genetic algorithms with extensive real-life applications in data mining and bioinformatics. The authors first offer detailed introductions to the relevant techniques – genetic algorithms, multiobjective optimization, soft computing, data mining and bioinformatics. They then demonstrate systematic applications of these techniques to real-world problems in the areas of data mining, bioinformatics and geoscience. The authors offer detailed theoretical and statistical notes, guides to future research, and chapter summaries. The book can be used as a textbook and as a reference book by graduate students and academic and industrial researchers in the areas of soft computing, data mining, bioinformatics and geoscience.

Robust Control Systems with Genetic Algorithms

Mo Jamshidi,Renato A. Krohling,Leandro dos S. Coelho,Peter J. Fleming
Robust Control Systems with Genetic Algorithms Book PDF

Author : Mo Jamshidi,Renato A. Krohling,Leandro dos S. Coelho,Peter J. Fleming
Publisher : CRC Press
Page : 230 pages
File Size : 50,8 Mb
Release : 2002-10-14
Category : Technology & Engineering
ISBN : 9780849312519

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Robust Control Systems with Genetic Algorithms by Mo Jamshidi,Renato A. Krohling,Leandro dos S. Coelho,Peter J. Fleming Pdf

In recent years, new paradigms have emerged to replace-or augment-the traditional, mathematically based approaches to optimization. The most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the optimization of symbolic codes. Robust Control Systems with Genetic Algorithms builds a bridge between genetic algorithms and the design of robust control systems. After laying a foundation in the basics of GAs and genetic programming, it demonstrates the power of these new tools for developing optimal robust controllers for linear control systems, optimal disturbance rejection controllers, and predictive and variable structure control. It also explores the application of hybrid approaches: how to enhance genetic algorithms and programming with fuzzy logic to design intelligent control systems. The authors consider a variety of applications, such as the optimal control of robotic manipulators, flexible links and jet engines, and illustrate a multi-objective, genetic algorithm approach to the design of robust controllers with a gasification plant case study. The authors are all masters in the field and clearly show the effectiveness of GA techniques. Their presentation is your first opportunity to fully explore this cutting-edge approach to robust optimal control system design and exploit its methods for your own applications.

Evolutionary Multi-objective Optimization in Uncertain Environments

Chi-Keong Goh,Kay Chen Tan
Evolutionary Multi objective Optimization in Uncertain Environments Book PDF

Author : Chi-Keong Goh,Kay Chen Tan
Publisher : Springer Science & Business Media
Page : 273 pages
File Size : 54,7 Mb
Release : 2009-03-09
Category : Computers
ISBN : 9783540959755

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Evolutionary Multi-objective Optimization in Uncertain Environments by Chi-Keong Goh,Kay Chen Tan Pdf

Evolutionary algorithms are sophisticated search methods that have been found to be very efficient and effective in solving complex real-world multi-objective problems where conventional optimization tools fail to work well. Despite the tremendous amount of work done in the development of these algorithms in the past decade, many researchers assume that the optimization problems are deterministic and uncertainties are rarely examined. The primary motivation of this book is to provide a comprehensive introduction on the design and application of evolutionary algorithms for multi-objective optimization in the presence of uncertainties. In this book, we hope to expose the readers to a range of optimization issues and concepts, and to encourage a greater degree of appreciation of evolutionary computation techniques and the exploration of new ideas that can better handle uncertainties. "Evolutionary Multi-Objective Optimization in Uncertain Environments: Issues and Algorithms" is intended for a wide readership and will be a valuable reference for engineers, researchers, senior undergraduates and graduate students who are interested in the areas of evolutionary multi-objective optimization and uncertainties.

Large Scale Interactive Fuzzy Multiobjective Programming

Masatoshi Sakawa
Large Scale Interactive Fuzzy Multiobjective Programming Book PDF

Author : Masatoshi Sakawa
Publisher : Physica
Page : 228 pages
File Size : 48,6 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9783790818512

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Large Scale Interactive Fuzzy Multiobjective Programming by Masatoshi Sakawa Pdf

Simultaneous considerations of multiobjectiveness, fuzziness and block angular structures involved in the real-world decision making problems lead us to the new field of interactive multiobjective optimization for large scale programming problems under fuzziness. The aim of this book is to introduce the latest advances in the new field of interactive multiobjective optimization for large scale programming problems under fuzziness on the basis of the author's continuing research. Special stress is placed on interactive decision making aspects of fuzzy multiobjective optimization for human-centered systems in most realistic situations when dealing with fuzziness. The book is intended for graduate students, researchers and practitioners in the fields of operations research, industrial engineering, management science and computer science.

Multiobjective Problem Solving from Nature

Joshua Knowles,David Corne,Kalyanmoy Deb
Multiobjective Problem Solving from Nature Book PDF

Author : Joshua Knowles,David Corne,Kalyanmoy Deb
Publisher : Springer Science & Business Media
Page : 413 pages
File Size : 47,6 Mb
Release : 2008-01-28
Category : Computers
ISBN : 9783540729631

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Multiobjective Problem Solving from Nature by Joshua Knowles,David Corne,Kalyanmoy Deb Pdf

This text examines how multiobjective evolutionary algorithms and related techniques can be used to solve problems, particularly in the disciplines of science and engineering. Contributions by leading researchers show how the concept of multiobjective optimization can be used to reformulate and resolve problems in areas such as constrained optimization, co-evolution, classification, inverse modeling, and design.

Fuzzy Evolutionary Computation

Witold Pedrycz
Fuzzy Evolutionary Computation Book PDF

Author : Witold Pedrycz
Publisher : Springer Science & Business Media
Page : 325 pages
File Size : 51,6 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461561354

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Fuzzy Evolutionary Computation by Witold Pedrycz Pdf

As of today, Evolutionary Computing and Fuzzy Set Computing are two mature, wen -developed, and higbly advanced technologies of information processing. Bach of them has its own clearly defined research agenda, specific goals to be achieved, and a wen setUed algorithmic environment. Concisely speaking, Evolutionary Computing (EC) is aimed at a coherent population -oriented methodology of structural and parametric optimization of a diversity of systems. In addition to this broad spectrum of such optimization applications, this paradigm otTers an important ability to cope with realistic goals and design objectives reflected in the form of relevant fitness functions. The GA search (which is often regarded as a dominant domain among other techniques of EC such as evolutionary strategies, genetic programming or evolutionary programming) delivers a great deal of efficiency helping navigate through large search spaces. The main thrust of fuzzy sets is in representing and managing nonnumeric (linguistic) information. The key notion (whose conceptual as weH as algorithmic importance has started to increase in the recent years) is that of information granularity. It somewhat concurs with the principle of incompatibility coined by L. A. Zadeh. Fuzzy sets form a vehic1e helpful in expressing a granular character of information to be captured. Once quantified via fuzzy sets or fuzzy relations, the domain knowledge could be used efficiently very often reducing a heavy computation burden when analyzing and optimizing complex systems.

Genetic Algorithms

Kim-Fung Man,Kit-Sang Tang,Sam Kwong
Genetic Algorithms Book PDF

Author : Kim-Fung Man,Kit-Sang Tang,Sam Kwong
Publisher : Springer Science & Business Media
Page : 346 pages
File Size : 53,9 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781447105770

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Genetic Algorithms by Kim-Fung Man,Kit-Sang Tang,Sam Kwong Pdf

This comprehensive book gives a overview of the latest discussions in the application of genetic algorithms to solve engineering problems. Featuring real-world applications and an accompanying disk, giving the reader the opportunity to use an interactive genetic algorithms demonstration program.