A Fundamental Study of Differential Evolution with Growing Population Mechanism
Minoru Ito · Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications · 2010
In this paper, we propose a novel differential evolution (DE) with growing population mechanism. We can apply the proposed DE algorithm to the optimization problems without prior adjusting of population size. The proposed DE algorithm starts an optimization task with the minimal population size, adjust population size to the searching process. Population size is gradually grown during optimization task. The proposed DE algorithm adds individual to population and deletes individual from population using search history in each individuals. The performance of the proposed DE algorithm is evaluated with two multimodal function optimization problems. The experimental results indicate that the proposed DE algorithm has an ability of global optimization without prior adjusting of population size.