DocumentCode
1655518
Title
Introduction to evolutionary algorithms
Author
Yu Xinjie
Author_Institution
Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
fYear
2010
Firstpage
1
Lastpage
1
Abstract
Some interesting features of the new book “Introduction to Evolutionary Algorithms”, which is written by Xinjie Yu and Mitsuo Gen and be published by Springer in 2010, will be illustrated, including covering nearly all the hot evolutionary-computation-related topics, referring to the latest published journal papers, introducing the applications of EAs as many as possible, and adopting many pedagogical ways to make EAs easy and interesting. The contents and the consideration of selecting these contents will be discussed. Then the focus will be put on the pedagogical ways for teaching and self-study. The algorithms introduced in the tutorial include constrained optimization evolutionary algorithms (COEA), multiobjective evolutionary algorithms (MOEA), ant colony optimization (ACO), particle swarm optimization (PSO), and artificial immune systems (AIS). Some of the applications of these evolutionary algorithms will be discussed.
Keywords
artificial immune systems; constraint theory; evolutionary computation; particle swarm optimisation; ant colony optimization; artificial immune system; constrained optimization evolutionary algorithm; multiobjective evolutionary algorithm; particle swarm optimization; Book reviews; Books; Electrical engineering; Evolutionary computation; Optimization; Tutorials; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers and Industrial Engineering (CIE), 2010 40th International Conference on
Conference_Location
Awaji
Print_ISBN
978-1-4244-7295-6
Type
conf
DOI
10.1109/ICCIE.2010.5668407
Filename
5668407
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