On Hyper-parameter Tuning for Stochastic Optimization Algorithms

4 Mar 2020Haotian ZhangJianyong SunZongben Xu

This paper proposes the first-ever algorithmic framework for tuning hyper-parameters of stochastic optimization algorithm based on reinforcement learning. Hyper-parameters impose significant influences on the performance of stochastic optimization algorithms, such as evolutionary algorithms (EAs) and meta-heuristics... (read more)

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