DocumentCode
356941
Title
Representation, mutation and crossover issues in evolutionary computation
Author
Hinterding, Robert
Author_Institution
Sch. of Commun. & Inf., Victoria Univ. of Technol., Melbourne, Vic., Australia
Volume
2
fYear
2000
fDate
2000
Firstpage
916
Abstract
Representation, and the use of mutation and crossover or recombination are issues which some people from the different areas within evolutionary computation still disagree. The philosophical and representational differences we can attribute to the initial applications of each of the areas. We examine the role of mutation and crossover/recombination and when we mould expect them to work successfully and the effects of representation on them. We conclude that the areas have strengths, and should all be considered when designing an evolutionary algorithm
Keywords
evolutionary computation; knowledge representation; crossover; evolutionary algorithm; evolutionary computation; mutation; recombination; representation; Algorithm design and analysis; Application software; Australia; Evolutionary computation; Genetic algorithms; Genetic mutations; Genetic programming; History; Informatics; Operations research;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2000. Proceedings of the 2000 Congress on
Conference_Location
La Jolla, CA
Print_ISBN
0-7803-6375-2
Type
conf
DOI
10.1109/CEC.2000.870740
Filename
870740
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