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Yanghan Gao on Muck Rack

Yanghan Gao

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Articles

Differential Evolution with Group-Based Competitive Control Parameter Setting for Numerical Optimization

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By Mengnan Tian, Qingqing Zhang, Yanghan Gao, Xingshi He
| MDPI
Abstract : Differential evolution (DE) is one of the most popular and widely used optimizers among the community of evolutionary computation. Despite numerous works having been conducted on the improvement of DE performance, there are still some defects, such as premature convergence and stagnation. In order to alleviate them, this paper presents a novel DE variant by designing a new mutation operator (named “DE/current-to-pbest_id/1”) and a new control parameter setting.
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