Multiobjective Evolutionary Algorithms and Applications

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Springer Science & Business Media, Feb 18, 2006 - Computers - 296 pages

Multiobjective Evolutionary Algorithms and Applications provides comprehensive treatment on the design of multiobjective evolutionary algorithms and their applications in domains covering areas such as control and scheduling. Emphasizing both the theoretical developments and the practical implementation of multiobjective evolutionary algorithms, a profound mathematical knowledge is not required.

Written for a wide readership, engineers, researchers, senior undergraduates and graduate students interested in the field of evolutionary algorithms and multiobjective optimization with some basic knowledge of evolutionary computation will find this book a useful addition to their book case.

 

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Contents

Introduction
1
Review of MOEAs
9
Conceptual Framework and Distribution Preservation Mechanisms
30
Decision Supports and Advanced Features for MOEAs
51
Dynamic Population Size and Local Exploration for MOEAs 75
74
A Distributed Cooperative Coevolutionary Multiobjective Algorithm
91
Learning the Search Range in Dynamic Environments
111
Performance Assessment and Comparison of MOEAs 125
124
Evolutionary ComputerAided Control System Design
165
Evolutionary Design Automation of Multivariable QFT Control
183
Evolutionary Design of HDD Servo Control System
203
Evolutionary Scheduling VRPTW
218
Evolutionary Scheduling TTVRP
249
Bibliography 273
272
Index
292
Copyright

A Multiobjective Evolutionary Algorithm Toolbox
151

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