An Efficient Reconstructed Differential Evolution Variant by Some of the Current State-of-the-art Strategies for Solving Single Objective Bound Constrained Problems

• DOI: 10.48550/arxiv.2404.16280
• Publication Date: 2024-04-24
• Authors: Sichen Tao; Ruihan Zhao; Kaiyu Wang; Shangce Gao
• Keywords: Differential Evolution

Complex single-objective bounded problems are often difficult to solve. In evolutionary computation methods, since the proposal of differential evolution algorithm in 1997, it has been widely studied and developed due its simplicity efficiency. These developments include various adaptive strategies, operator improvements, introduction other search methods. After 2014, research based on LSHADE also by researchers. However, although recently proposed improvement strategies have shown superiority over their previous generation's first performance, adding all new may not necessarily bring strongest performance. Therefore, we recombine some effective advances advanced variants recent years finally determine an combination scheme further promote performance evolution. this paper, propose a strategy recombination reconstruction called reconstructed (RDE) solve optimization problems. Based benchmark suite 2024 IEEE Congress Evolutionary Computation (CEC2024), tested RDE several variants. The experimental results show that superior solving complex