DocumentCode :
1391681
Title :
Hybrid evolutionary programming technique using subpopulations with completely different evolution mechanisms
Author :
Se-Young Oh ; Doo-Hyun Choi
Volume :
34
Issue :
10
fYear :
1998
fDate :
5/14/1998 12:00:00 AM
Firstpage :
964
Lastpage :
966
Abstract :
A new hybrid technique using multiple subpopulations with completely different evolution mechanisms is proposed to enhance the possibility of quickly finding the global optimum of continuous fitness functions. Three subpopulations, each demonstrating a strength with particular shapes of the fitness function, cooperate, having a synergy effect in which the global performance greatly exceeds any of the local performances. The efficiency and robustness of the proposed technique is verified through benchmark test functions
Keywords :
algorithm theory; mathematical programming; benchmark test functions; continuous fitness functions; global optimum; hybrid evolutionary programming technique; multiple subpopulations;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:19980725
Filename :
682935
Link To Document :
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