Convergence of a Discretized Self-Adaptive Evolutionary Algorithm on Multi-Dimensional Problems
نویسندگان
چکیده
We consider the convergence properties of a non-elitist self-adaptive evolutionary strategy (ES) on multi-dimensional problems. In particular, we apply our recent convergence theory for a discretized (1, λ)-ES to design a related (1, λ)-ES that converges on a class of seperable, unimodal multi-dimensional problems.
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تاریخ انتشار 2003