iL-SHADE: Improved L-SHADE algorithm for single objective real-parameter optimization

摘要

In this paper we present a differential evolution algorithm (iL-SHADE) for solving single objective real-parameter optimization problems. It is an improved version of the well-known L-SHADE algorithm. The experimental results of our algorithm are presented on CEC 2014 benchmark functions. The experiments were performed on 30 benchmark functions and on four different dimensions. The obtained results show that our algorithm performs highly competitive in comparison with the original L-SHADE algorithm.