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Evolutionary Algorithms for Solving Multi-Objective Problems 2e

1,346

Authors: Carlos A. Coello, Gary B. Lamont, David A. Van Veldhuizen

ISBN: 9788184893694

Copy Right Year:  2007

Pages:  824

Binding: Soft Cover

Publisher:  Springer

SKU: 9788184893694 Category:

Description

Designed for graduate courses on Evolutionary Algorithms for Solving Multi-Objective Optimization, with exercises and links to a complete set of teaching material including tutorials

Updated and expanded MOEA exercises, discussion questions and research ideas at the end of each chapter

New Chapter devoted to coevolutionary and memetic MOEAs with added material on solving constrained multi-objective problems

Additional material on the most recent MOEA test functions and performance measures, as well as on the latest developments on the theoretical foundations of MOEAs

Additional information

Weight .42 kg
Dimensions 23 × 16 × 4 cm

Table of Content

Basic Concepts

MOP Evolutionary Algorithm Approaches

MOEA Local Search and Coevolution

MOEA Test Suites

MOEA Testing and Analysis

MOEA Theory and Issues

Applications

MOEA Parallelization

Multi-Criteria Decision Making

Alternative Metaheuristics

Epilog

References

Index

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