Evolutionary Algorithms for Solving Multi-Objective Problems

By: Carlos Coello Coello, Gary B. Lamont, David A. van Veldhuizen

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Hardcover | 18 September 2007 | Edition Number 2

At a Glance

Hardcover
824 Pages

Edition Type
Revised

Dimensions(cm)
23.39 x 15.6 x 4.29

Hardcover

$199.00

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Solving multi-objective problems is an evolving effort, and computer science and other related disciplines have given rise to many powerful deterministic and stochastic techniques for addressing these large-dimensional optimization problems. Evolutionary algorithms are one such generic stochastic approach that has proven to be successful and widely applicable in solving both single-objective and multi-objective problems.

This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems, including test suites with associated performance based on a variety of appropriate metrics, as well as serial and parallel algorithm implementations.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Neural Networks & Fuzzy Systems Computer Programming & Software Development Algorithms & Data Structures Mathematics Optimisation Linear Programming Probability & Statistics

List of Figures
List of Tables
Preface
Foreword
Basic Concepts
Evolutionary Algorithm MOP Approaches
MOEA Test Suites
MOEA Testing and Analysis
MOEA Theory and Issues
Applications
MOEA Parallelization
Multi-Criteria Decision Making
Special Topics
Epilog
MOEA Classification and Technique Analysis
MOPs in the Literature
Ptrue & PFtrue for Selected Numeric MOPs
Ptrue & PFtrue for Side-Constrained MOPs
MOEA Software Availability
MOEA-Related Information
Index
References
Table of Contents provided by Publisher. All Rights Reserved.

Evolutionary Algorithms for Solving Multi-Objective Problems

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

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