A numerical study of some modified differential evolution algorithms
Modifications in mutation and localization in acceptance rule are suggested to the differential evolution algorithm for global optimization. Numerical experiments indicate that the resulting algorithms are considerably better than the original differential evolution algorithm. Therefore, they offer a reasonable alternative to many currently available stochastic algorithms, especially for problems requiring direct search type methods. Numerical study is carried out using a set of 50 test problems many of which are inspired by practical applications.
modified differential evolution global optimization population set based method continuous variable