An Empirical Study on GAs "Without Parameters"
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چکیده
In this paper we implement GAs that have one or more parameters that are adjusted during the run. In particular we use an existing self-adaptive mutation rate mechanism, propose a new mechanism for self-adaptive crossover rates, and redesign an existing variable population size model. We compare the simple GA with GAs featuring only one of the parameter adjusting mechanisms and with a GA that applies all three mechanisms-and is therefore almost " parameterless ". The experimental results on a carefully designed test suite indicate the superiority of the parameterless GA and give a hint on the power of adapting the population size.
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تاریخ انتشار 2000