Applications of multi-objective evolutionary algorithms
- Responsibility
- editors, Carlos A. Coello Coello, Gary B. Lamont.
- Language
- English. English.
- Digital
- data file
- Imprint
- Singapore ; Hackensack, NJ : World Scientific, ©2004.
- Physical description
- 1 online resource (xxvii, 761 pages) : illustrations
- Series
- Advances in natural computation ; v. 1.
Online
Available online
More options
Description
Creators/Contributors
- Contributor
- Coello Coello, Carlos A.
- Lamont, Gary B.
Contents/Summary
- Bibliography
- Includes bibliographical references and index.
- Contents
-
- An Introduction to Multi-Objective Evolutionary Algorithms and Their Applications
- Optimal Design of Industrial Electromagnetic Devices: A Multiobjective Evolutionary Approach
- Using a Particle Swarm Optimizer with a Multi-Objective Selection Scheme to Design Combinational Logic Circuits
- Automatic Control System Design via a Multiobjective Evolutionary Algorithm
- Evolutionary Multi-Objective Optimization of Trusses
- A Multi-Objective Evolutionary Algorithm for the Covering Tour Problem
- Multiobjective Aerodynamic Design and Visualization of Supersonic Wings by Using Adaptive Range Multiobjective Genetic Algorithms
- Mutli-Objective Spectroscopic Data Analysis of Inertial Confinement Fusion Implosion Cores: Plasma Gradient Determination
- On Machine Learning with Multiobjective Genetic Optimization
- and other papers.
- (source: Nielsen Book Data)
- Publisher's 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.
(source: Nielsen Book Data)
Subjects
Bibliographic information
- Publication date
- 2004
- Series
- Advances in natural computation ; v. 1
- ISBN
- 9812567798 (electronic bk.)
- 9789812567796 (electronic bk.)
- 9812561064
- 9789812561060
- 1281880841
- 9781281880840
- 9786611880842
- 6611880844
Browse related items
Start at call number:
