DocumentCode
445580
Title
Symbiogenetic coevolution
Author
Wallin, David ; Ryan, Conor ; Azad, R. Muhammad Atif
Author_Institution
CSIS Dept., Limerick Univ., Ireland
Volume
2
fYear
2005
fDate
2-5 Sept. 2005
Firstpage
1613
Abstract
In this paper we introduce a cooperative revolutionary algorithm based on the ideas of endosymbiosis. We compare it to a generational GA on two deceptive and decomposable problems and show that it has better scaling properties as the problem size increases. We then analyse what effect crossover and parasite mutation has on its performance and conclude that a high parasite mutation rate is preferred over a lower rate and that crossover has no, or a very small, effect on its performance.
Keywords
evolutionary computation; cooperative revolutionary algorithm; crossover mutation; parasite mutation; symbiogenetic coevolution; Arm; Cells (biology); Genetic mutations; Organisms; Performance analysis; Sorting; Spirals; Symbiosis; Technological innovation; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2005. The 2005 IEEE Congress on
Print_ISBN
0-7803-9363-5
Type
conf
DOI
10.1109/CEC.2005.1554882
Filename
1554882
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