Computer and Information Science » Numerical Analysis and Scientific Computing

Evolutionary Algorithms

Edited by Eisuke Kita, ISBN 978-953-307-171-8, 584 pages, Publisher: InTech, Chapters published April 26, 2011 under CC BY-NC-SA 3.0 license
DOI: 10.5772/627

Evolutionary algorithms are successively applied to wide optimization problems in the engineering, marketing, operations research, and social science, such as include scheduling, genetics, material selection, structural design and so on. Apart from mathematical optimization problems, evolutionary algorithms have also been used as an experimental framework within biological evolution and natural selection in the field of artificial life.