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
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;
Conference_Titel :
Evolutionary Computation, 1996., Proceedings of IEEE International Conference on
Conference_Location :
Nagoya
Print_ISBN :
0-7803-2902-3
DOI :
10.1109/ICEC.1996.542384
