Differential evolution based on hybrid crossover operators
Lei Yang, Long Zhou, Min Yu · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2011
Differential evolution (DE) is a newly proposed intelligent optimization algorithm, which has shown good search abilities in many optimization problems. However, DE as well as other population-based stochastic algorithms can be easily trapped into local optima when solving complex multimodal problems. In order to enhance the performance of DE, this paper presents a novel DE variant (HCDE) based on hybrid crossover operators. Simulation studies on ten wellknown benchmark functions show that the proposed approach HCDE achieves better results when compared with other two DE variants.