DocumentCode
2703294
Title
An improved genetic algorithm performance with benchmark functions
Author
Araújo, A.L. ; Assis, F.M.
Author_Institution
Dept. of Electr. Eng., Univ. Federal da Paraiba, Joao Pessoa, Brazil
fYear
2000
fDate
2000
Firstpage
292
Abstract
In a previous paper by the authors (1998) it was shown that a new genetic algorithm (GA) performed better than a basic GA. In the present paper we focus on an improved genetic algorithm which uses the theory of cosets. The new technique was tested using some benchmark functions for which the basic GA performance was not good enough. The main purpose of this paper is to suggest how to use linear codes properties to guide the GA search
Keywords
functions; genetic algorithms; linear codes; set theory; GA search; benchmark functions; cosets; improved genetic algorithm; Benchmark testing; Genetic algorithms; Genetic programming; Linear code; Performance evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2000. Proceedings. Sixth Brazilian Symposium on
Conference_Location
Rio de Janeiro, RJ
ISSN
1522-4899
Print_ISBN
0-7695-0856-1
Type
conf
DOI
10.1109/SBRN.2000.889764
Filename
889764
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