Description: Genetic Algorithms and Fuzzy Multiobjective Optimization by Masatoshi Sakawa This title introduces 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. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description 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. "Genetic Algorithms And Fuzzy Multiobjective Optimization" introduces 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. Table of Contents 1. Introduction.- 1.1 Introduction and historical remarks.- 1.2 Organization of the book.- 2. Foundations of Genetic Algorithms.- 2.1 Outline of genetic algorithms.- 2.2 Coding, fitness, and genetic operators.- 3. Genetic Algorithms for 0–1 Programming.- 3.1 Introduction.- 3.2 Multidimensional 0–1 knapsack problems.- 3.3 0–1 programming.- 3.4 Conclusion.- 4. Fuzzy Multiobjective 0–1 Programming.- 4.1 Introduction.- 4.2 Fuzzy multiobjective 0–1 programming.- 4.3 Fuzzy multiobjective 0–1 programming with fuzzy numbers.- 4.4 Conclusion.- 5. Genetic Algorithms for Integer Programming.- 5.1 Introduction.- 5.2 Multidimensional integer knapsack problems.- 5.3 Integer programming.- 5.4 Conclusion.- 6. Fuzzy Multiobjective Integer Programming.- 6.1 Introduction.- 6.2 Fuzzy multiobjective integer programming.- 6.3 Fuzzy multiobjective integer programming with fuzzy numbers.- 6.4 Conclusion.- 7. Genetic Algorithms for Nonlinear Programming.- 7.1 Introduction.- 7.2 Floating-point genetic algorithms.- 7.3 GENOCOP III.- 7.4 Revised GENOCOP III.- 7.5 Conclusion.- 8. Fuzzy Multiobjective Nonlinear Programming.- 8.1 Introduction.- 8.2 Multiobjective nonlinear programming.- 8.3 Multiobjective nonlinear programming problem with fuzzy numbers.- 8.4 Conclusion.- 9. Genetic Algorithms for Job-Shop Scheduling.- 9.1 Introduction.- 9.2 Job-shop scheduling.- 9.3 Genetic algorithms for job-shop scheduling.- 10.Fuzzy Multiobjective Job-Shop Scheduling.- 10.1 Introduction.- 10.2 Job-shop scheduling with fuzzy processing time and fuzzy due date.- 10.3 Multiobjective job-shop scheduling under fuzziness.- 11.Some Applications.- 11.1 Flexible scheduling in a machining center.- 11.2 Operation planning of district heating and cooling plants.- 11.3 Coal purchase planning in electric powerplants.- References. Promotional Springer Book Archives Long Description 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. Details ISBN0792374525 Author Masatoshi Sakawa Short Title GENETIC ALGORITHMS & FUZZY MUL Series Operations Research/Computer Science Interfaces Series Language English ISBN-10 0792374525 ISBN-13 9780792374527 Media Book Format Hardcover Series Number 14 Place of Publication Dordrecht Birth 1947 Publisher Springer Pages 288 Edition 2002nd Imprint Springer Country of Publication Netherlands DOI 10.1007/b116745;10.1007/978-1-4615-1519-7 Edition Description 2002 ed. Year 2001 Publication Date 2001-10-31 Alternative 9781461355946 DEWEY 006.31 Illustrations X, 288 p. Audience Undergraduate We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:96225228;
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ISBN-13: 9780792374527
Book Title: Genetic Algorithms and Fuzzy Multiobjective Optimization
Number of Pages: 288 Pages
Language: English
Publication Name: Genetic Algorithms and Fuzzy Multiobjective Optimization
Publisher: Springer
Publication Year: 2001
Subject: Mathematics, Management
Item Height: 235 mm
Item Weight: 1330 g
Type: Textbook
Author: Masatoshi Sakawa
Subject Area: Data Analysis
Item Width: 155 mm
Format: Hardcover