Evolutionary Algorithms for Solving Multi-Objective Problems

von Carlos Coello Coello, Gary B. Lamont, David A. van Veldhuizen

800 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

Solving multi-objective problems is an evolving effort, and computer science and other related disciplines have given rise to many powerful deterministic and stochastic techniques for addressing these large-dimensional optimization problems. Evolutionary algorithms are one such generic stochastic approach that has proven to be successful and widely applicable in solving both single-objective and multi-objective problems.

This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems, including test suites with associated performance based on a variety of appropriate metrics, as well as serial and parallel algorithm implementations.

• Reihe: Genetic and Evolutionary Computation
• Themen: Informatik und Informationstechnologie Computerprogrammierung und Softwareentwicklung
• ISBN: 9781489994608
• Sprache: Englisch
• Erscheinungsdatum: 28.10.2014
• Größe: 23.5 x 15.5 cm
• Verlag: Springer US