Evolutionary Programming with Exponential Mutation

H. Narihisa, T. Taniguchi, M. Ohta, and K. Katayama (Japan)


Evolutionary programming, Evolutionary computation, Exponential mutation


In this paper, we present exponential evolutionary pro gramming (EEP) with the mutation based on double expo nential probability distribution. By controlling the parame ter value of EEP, an effective convergence of evolutionary programming (EP) can be expected comparing with con ventional algorithm. Moreover, a new EEP without strat egy parameter is proposed and shown that its performance is superior to other EP algorithm with simple parameter set ting.

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