Applications of multi-objective evolutionary algorithms
Author(s)
Bibliographic Information
Applications of multi-objective evolutionary algorithms
（Advances in natural computation, v. 1）
World Scientific, c2004
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
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.
Table of 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.
by "Nielsen BookData"