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Adaptation of the fitness criteria can be a very powerful tool enhancing the feedback scheme employed in standard evolutionary algorithms. When the problem the Evolutionary Algorithm (EA) is trying to solve is changing over time, the fitness criteria needs to change to adapt to the new problem. Significant performance improvements are possible with feedback(More)
It has long been known that adapting the strategy parameters in an evolution strategy during a run improves the quality of the search. Several adaption schemes have been proposed in the past. In this paper we present a new adaption scheme based on optimal control principles. Our preliminary results indicate this new method is quite effective. Results are(More)
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