Advances in Natural Computation - Vol. 1
APPLICATIONS OF MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS
edited by Carlos A Coello Coello (CINVESTAV-IPN, Mexico) & Gary B Lamont (Air Force Institute of Technology, Wright-Patterson AFB, USA)
Table of Contents (433k) Preface (126k) Chapter 1: An Introduction to Multi-Objective Evolutionary Algorithms and Their Applications (1,079k)
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.
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
Readership: Undergraduates, graduate students, researchers, academics,
practitioners and professionals interested in evolutionary algorithms.
| 792pp |
Pub. date: Dec 2004 |
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