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.
Reihe
Sprache
Verlagsort
Zielgruppe
Produkt-Hinweis
Fadenheftung
Gewebe-Einband
Maße
Höhe: 234 mm
Breite: 161 mm
Dicke: 44 mm
Gewicht
ISBN-13
978-981-256-106-0 (9789812561060)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Autor*in
Cinvestav-ipn, Mexico
Air Force Inst Of Technology, Usa
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.
