1 October 2011 Differential evolution based on hybrid crossover operators
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Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 828578 (2011) https://doi.org/10.1117/12.913516
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt
Abstract
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.
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Lei Yang, Lei Yang, Long Zhou, Long Zhou, Min Yu, Min Yu, } "Differential evolution based on hybrid crossover operators", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 828578 (1 October 2011); doi: 10.1117/12.913516; https://doi.org/10.1117/12.913516
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