Applications of multi-objective evolutionary algorithms

This book presents an extensive variety of multi-objective problems across diverse disciplines, along with statistical solutions using multi-objective evolutionary algorithms (MOEAs). The topics discussed serve to promote a wider understanding as well as the use of MOEAs, the aim being to find good...

Full description

Saved in:
Bibliographic Details
Main Authors Coello Coello, Carlos A, Lamont, Gary B
Format eBook Book
LanguageEnglish
Published Singapore World Scientific Publishing Co. Pte. Ltd 2004
World Scientific
World Scientific Publishing Company
WORLD SCIENTIFIC
World Scientific Publishing
Edition1
SeriesAdvances in natural computation
Subjects
Artificial Intelligence (Machine Learning, Neural Networks, Fuzzy Logic)
Combinatorial optimization
Electrical & Electronic Engineering (Circuits & Systems, Communications, Control, Computer Engineering)
Evolutionary computation
Genetische algoritmen
Industrial and Systems Engineering
Operations Management
Operations Research
SCIENCE
Supply Chain Management
Evolutionary Multiobjective Optimization
Multi-Objective Optimization
Optimization
Pareto Optimization
Online AccessGet full text

Cover

More Information
Summary:This book presents an extensive variety of multi-objective problems across diverse disciplines, along with statistical solutions using multi-objective evolutionary algorithms (MOEAs). The topics discussed serve to promote a wider understanding as well as the use of MOEAs, the aim being to find good solutions for high-dimensional real-world design applications. The book contains a large collection of MOEA applications from many researchers, and thus provides the practitioner with detailed algorithmic direction to achieve good results in their selected problem domain.
Bibliography:Includes bibliographical references and index
ISBN:9789812561060
9812561064
9789812567796
9812567798
DOI:10.1142/5712