DocumentCode
3400054
Title
Labeled-GA with adaptive mutation rate
Author
Hartono, Pitoyo ; Hashimoto, Shuji ; Wahde, Mattias
Author_Institution
WABOT-HOUSE Lab., Waseda Univ., Tokyo, Japan
Volume
2
fYear
2004
fDate
19-23 June 2004
Firstpage
1851
Abstract
In This work we propose a modified GA that assigns a unique mutation rate to each gene based on the contribution of the respective gene\´s contribution to the fitness of the individual. Although the proposed model is not "parameter free", through a number of experiments, we show that the parameters for this model are significantly insensitive to the landscape of the problems compared with the mutation rate in conventional GA, implying that this model could deal effectively with a wide range of problems the requirement to set the mutation rate empirically.
Keywords
artificial life; genetic algorithms; problem solving; simulation; adaptive mutation rate; gene contribution; labeled-GA; Flowcharts; Genetic mutations; Labeling; Laboratories; Physics; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2004. CEC2004. Congress on
Print_ISBN
0-7803-8515-2
Type
conf
DOI
10.1109/CEC.2004.1331121
Filename
1331121
Link To Document