Hybrid Evolutionary Strategy Algorithm and Its Application in Function Optimization
Minghui Li · Journal of Tonghua Normal University · 2011
In adaptive evolution strategy,Gaussian mutation operator made the evolutionary process fall into local optimal,the evolution appeared premature.Aiming at the shortcoming,introducing Cauchy mutation operator and progeny distance rate method.In the early evolution,using the variation of Cauchy,ensure the individual can quickly move to global optimal direction.In the later evolution using Gaussian mutation,when the individual gathered in the vicinity of global optimum solution,with smaller mutation step drive the individual to move to global optimal solution direction.Through the single-peak and multi-peak functions,a simulation testing verifies the effectiveness of this algorithm.