Genetic Algorithms and Fuzzy Multiobjective Optimization

Genetic Algorithms and Fuzzy Multiobjective Optimization
Author :
Publisher : Springer Science & Business Media
Total Pages : 306
Release :
ISBN-10 : 0792374525
ISBN-13 : 9780792374527
Rating : 4/5 (25 Downloads)

Book Synopsis Genetic Algorithms and Fuzzy Multiobjective Optimization by : Masatoshi Sakawa

Download or read book Genetic Algorithms and Fuzzy Multiobjective Optimization written by Masatoshi Sakawa and published by Springer Science & Business Media. This book was released on 2002 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Genetic Algorithms and Fuzzy Multiobjective Optimization Related Books

Genetic Algorithms and Fuzzy Multiobjective Optimization
Language: en
Pages: 306
Authors: Masatoshi Sakawa
Categories: Business & Economics
Type: BOOK - Published: 2002 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Since the introduction of genetic algorithms in the 1970s, an enormous number of articles together with several significant monographs and books have been publi
Genetic Algorithms and Fuzzy Multiobjective Optimization
Language: en
Pages: 294
Authors: Masatoshi Sakawa
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Since the introduction of genetic algorithms in the 1970s, an enormous number of articles together with several significant monographs and books have been publi
Genetic Algorithms and Engineering Optimization
Language: en
Pages: 520
Authors: Mitsuo Gen
Categories: Technology & Engineering
Type: BOOK - Published: 1999-12-28 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Im Mittelpunkt dieses Buches steht eines der wichtigsten Optimierungsverfahren der industriellen Ingenieurtechnik: Mit Hilfe genetischer Algorithmen lassen sich
Multiobjective Optimization
Language: en
Pages: 481
Authors: Jürgen Branke
Categories: Computers
Type: BOOK - Published: 2008-10-18 - Publisher: Springer

DOWNLOAD EBOOK

Multiobjective optimization deals with solving problems having not only one, but multiple, often conflicting, criteria. Such problems can arise in practically e
Evolutionary Algorithms for Solving Multi-Objective Problems
Language: en
Pages: 810
Authors: Carlos Coello Coello
Categories: Computers
Type: BOOK - Published: 2007-08-26 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The var