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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.
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.
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- ID: 9789812561060
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