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.
Author(s): Ajith Abraham (Editor), L.C. Jain Robert Goldberg (Editor), Lakhmi Jain (Editor)
Edition: 1st Edition.
Year: 2005
Language: English
Pages: 302
Tags: Математика;Методы оптимизации;
Cover......Page 1
Evolutionary
Multiobjective
Optimization......Page 4
Advanced Information and Knowledge Processing......Page 2
ISBN-10: 1852337877......Page 5
Preface......Page 6
Contents......Page 8
List of Contributors......Page 15
1
Evolutionary Multiobjective Optimization......Page 19
2
Recent Trends in Evolutionary Multiobjective
Optimization......Page 25
3
Self-adaptation and Convergence of
Multiobjective Evolutionary Algorithms in
Continuous Search Spaces......Page 51
4
A Simple Approach to Evolutionary
Multiobjective Optimization......Page 72
5
Quad-trees: A Data Structure for Storing
Pareto Sets in Multiobjective Evolutionary
Algorithms with Elitism......Page 97
6
Scalable Test Problems
for Evolutionary Multiobjective Optimization......Page 121
7
Particle Swarm Inspired Evolutionary
Algorithm (PS-EA) for Multi-Criteria
Optimization Problems......Page 162
8
Evolving Continuous Pareto Regions......Page 181
9
MOGADES: Multi-Objective Genetic
Algorithm with Distributed Environment
Scheme......Page 214
10
Use of Multiobjective Optimization Concepts
to Handle Constraints in Genetic Algorithms......Page 241
11
Multi-criteria Optimization of Finite State
Automata: Maximizing Performance while
Minimizing Description Length......Page 267
12
Multiobjective Optimization of Space
Structures under Static and Seismic Loading
Conditions......Page 284
Index......Page 312
