DocumentCode :
445527
Title :
Coevolving antibodies with a rich representation of grammatical evolution
Author :
Amarteifio, Saoirse ; O´Neill, Michael
Author_Institution :
Limerick Univ.
Volume :
1
fYear :
2005
fDate :
5-5 Sept. 2005
Firstpage :
904
Abstract :
A number of natural anticipatory systems employ dual processes of feature definition and feature exploitation. We present a coevolutionary dual process model based on the immune system and consider the effect of coevolving complementary templates to bias feature selection and recombination. This work considers the issue of module exploitation in evolutionary algorithms. Our approach is characterized by the use of rich representations in grammatical evolution
Keywords :
evolutionary computation; bias feature selection; coevolutionary dual process; coevolving antibody; evolutionary algorithm; feature definition; feature exploitation; feature recombination; grammatical evolution; immune system; natural anticipatory system; Adaptive systems; Bioinformatics; Computer vision; Evolutionary computation; Genetic algorithms; Genomics; Immune system; Libraries; Phase detection; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2005. The 2005 IEEE Congress on
Conference_Location :
Edinburgh, Scotland
Print_ISBN :
0-7803-9363-5
Type :
conf
DOI :
10.1109/CEC.2005.1554779
Filename :
1554779
Link To Document :
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