Description: 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.
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EAN: 9781489994608
UPC: 9781489994608
ISBN: 9781489994608
MPN: N/A
Book Title: Evolutionary Algorithms for Solving Multi-Objectiv
Item Length: 23.4 cm
Number of Pages: 800 Pages
Language: English
Publication Name: Evolutionary Algorithms for Solving Multi-Objective Problems
Publisher: Springer-Verlag New York Inc.
Publication Year: 2014
Subject: Computer Science, Mathematics
Item Height: 235 mm
Item Weight: 1240 g
Type: Textbook
Author: Gary B. Lamont, Carlos Coello Coello, David A. Van Veldhuizen
Item Width: 155 mm
Format: Paperback
