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 одоще 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 2-nd edition Авторы Carlos A Coello Gary B Lamont David A Van Veldhuizen.  EnhanceИздательство: Springer, 2007 г Твердый переплет, 800 стр ISBN 0387332545 Язык: Английский.