DocumentCode
1645130
Title
Adaptation of population sizes by competing subpopulations
Author
Voosen, Dirk Schlierkamp ; Muhlenbein, Heinz
Author_Institution
German Nat. Res. Center for Inf. Technol., St. Augustin, Germany
fYear
1996
Firstpage
330
Lastpage
335
Abstract
We present a competition scheme which dynamically allocates the number of trials given to different search strategies. The competition scheme changes the sizes of the subgroups, but also the size of the whole population. The competition scheme is able to combine the strengths of individual search strategies in a synergetic way. This claim is demonstrated by numerical experiments with two difficult functions to be optimized
Keywords
genetic algorithms; numerical analysis; search problems; competing subpopulations; competition scheme; dynamical trial allocation; function optimization; numerical experiments; population size adaptation; search strategies; Counting circuits; Difference equations; Nonlinear equations; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 1996., Proceedings of IEEE International Conference on
Conference_Location
Nagoya
Print_ISBN
0-7803-2902-3
Type
conf
DOI
10.1109/ICEC.1996.542384
Filename
542384
Link To Document