most citedDeep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution

2 citations · 2 across the 1 of their papers we have counts for

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cs.NE2024★ 2 cited

Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution

Hongshu Guo, Yining Ma, Zeyuan Ma +5

Evolutionary algorithms, such as Differential Evolution, excel in solving real-parameter optimization challenges. However, the effectiveness of a single algorithm varies across dif…