E-Book, Englisch, 822 Seiten
Coello Coello / Lamont / Veldhuizen Evolutionary Algorithms for Solving Multi-Objective Problems
2. Auflage 2007
ISBN: 978-0-387-36797-2
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 822 Seiten
Reihe: Genetic and Evolutionary Computation
ISBN: 978-0-387-36797-2
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
