Evolutionary Algorithms for Solving Multi-Objective Problems

di Carlos Coello Coello (Autore)

Gary B. Lamont (Autore)

David A. van Veldhuizen (Autore)

Springer-Verlag New York Inc., 2007

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.

• Autore: Carlos Coello Coello, Gary B. Lamont, David A. van Veldhuizen
• Editore: Springer-Verlag New York Inc.
• Collana: Genetic and Evolutionary Computation
• Anno: 2007
• Rilegatura: Hardback
• Pagine: 800 p.
• Dimensioni: 235 x 155 mm
• EAN: 9780387332543

Testo in English