Estimation of Distribution Algorithm Incorporating Switching
Kenji TSUCHIE, Yoshiko Hanada, Seiji Miyoshi · IEICE Transactions on Information and Systems · 2010
We propose an “estimation of distribution algorithm” incorporating switching. The algorithm enables switching from the standard estimation of distribution algorithm (EDA) to the genetic algorithm (GA), or vice versa, on the basis of switching criteria. The algorithm shows better performance than GA and EDA in deceptive problems.