DocumentCode
3137138
Title
Evolutionary computation techniques and their applications
Author
Michalewicz, Zbigniew ; Michalewicz, Maciej
Author_Institution
Dept. of Comput. Sci., North Carolina Univ., Charlotte, NC, USA
Volume
1
fYear
1997
fDate
28-31 Oct 1997
Firstpage
14
Abstract
Evolutionary computation techniques, which are based on a powerful principle of evolution: survival of the fittest, constitute an interesting category of heuristic search. Evolutionary computation techniques are stochastic algorithms whose search methods model some natural phenomena: genetic inheritance and Darwinian strive for survival. This paper discusses the main paradigms of evolutionary computation techniques (genetic algorithms, evolution strategies, evolutionary programming, genetic programming) as well as other methods, which are hard to classify. It addresses an important question “why evolutionary computation?” and discusses some applications of these techniques
Keywords
genetic algorithms; heuristic programming; search problems; Darwinian strive for survival; evolution; evolutionary computation techniques; evolutionary programming; genetic algorithms; genetic inheritance; genetic programming; heuristic search; stochastic algorithms; survival of the fittest; Books; Data structures; Evolutionary computation; Genetic algorithms; Genetic mutations; Process control; Scattering; Simulated annealing; Tellurium;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4253-4
Type
conf
DOI
10.1109/ICIPS.1997.672732
Filename
672732
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