B COELLO CARLOS A COELLO & LAMONT GARY (EN) — APPLICATIONS OF MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS

APPLICATIONS OF MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS краткое содержание

APPLICATIONS OF MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS - описание и краткое содержание, автор B COELLO CARLOS A COELLO & LAMONT GARY (EN), читать бесплатно онлайн на сайте электронной библиотеки Lib-King.Ru.

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 ApplicationsOptimal Design of Industrial Electromagnetic Devices: A Multiobjective Evolutionary ApproachUsing a Particle Swarm Optimizer with a Multi-Objective Selection Scheme to Design Combinational Logic CircuitsAutomatic Control System Design via a Multiobjective Evolutionary AlgorithmEvolutionary Multi-Objective Optimization of TrussesA Multi-Objective Evolutionary Algorithm for the Covering Tour ProblemMultiobjective Aerodynamic Design and Visualization of Supersonic Wings by Using Adaptive Range Multiobjective Genetic AlgorithmsMutli-Objective Spectroscopic Data Analysis of Inertial Confinement Fusion Implosion Cores: Plasma Gradient DeterminationOn Machine Learning with Multiobjective Genetic Optimizationand other papersReadership: Undergraduates, graduate students, researchers, academics, practitioners and professionals interested in evolutionary algorithms.