论文信息 - Strategy Adaption by Competing Subpopulations

Strategy Adaption by Competing Subpopulations

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.

Heinz Mühlenbein | Dirk Schlierkamp-Voosen | H. Mühlenbein | Dirk Schlierkamp-Voosen

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