Evolutionary Algorithms for Solving Multi-Objective Problems

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Evolutionary Algorithms for Solving Multi-Objective Problems is written by Carlos Coello Coello and published by Springer Science & Business Media. It's available with International Standard Book Number or ISBN identification 0387367977 (ISBN 10) and 9780387367972 (ISBN 13).

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.