Authors
Dirk Schlierkamp-Voosen, Heinz Mühlenbein
Publication date
1994
Conference
Parallel Problem Solving from Nature—PPSN III: International Conference on Evolutionary Computation The Third Conference on Parallel Problem Solving from Nature Jerusalem, Israel, October 9–14, 1994 Proceedings 3
Pages
199-208
Publisher
Springer Berlin Heidelberg
Description
The breeder genetic algorithm BGA depends on a set of control parameters and genetic operators. In this paper it is shown that strategy adaptation by competing subpopulations makes the BGA more robust and more efficient. Each subpopulation uses a different strategy which competes with other subpopulations. Numerical results are presented for a number of test functions.
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D Schlierkamp-Voosen, H Mühlenbein - Parallel Problem Solving from Nature—PPSN III …, 1994