Self-adaptive differential evolution algorithm with a small and varying population size

In this paper we present self-adaptive differential evolution algorithm with a small and varying population size on large scale global optimization. The experimental results obtained by our algorithm on benchmark functions provided for the CEC 2012 competition and special session on Large Scale Global Optimization are presented. The experiments were performed on 20 test functions with high dimension D = 1000. Obtained results show that our algorithm performs highly competitive in comparison with the algorithms presented at similar CEC 2010 competition.