APPLICATIONS OF MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS
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)
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
APPLICATIONS OF MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS