: Carlos A. Coello Coello, Gary B. Lamont, David A. van Veldhuizen
: Evolutionary Algorithms for Solving Multi-Objective Problems
: Springer-Verlag
: 9780387367972
: 2
: CHF 85.10
:
: Informatik
: English
: 822
: DRM
: PC/MAC/eReader/Tablet
: PDF
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.