To address the problem of uniform experimental design in the constraint region, this paper proposes an improved ToPDE algorithm with higher performance based on the current more advanced two phase differential evolution (ToPDE) algorithm. Firstly, the proposed method optimizes the evolution of ToPDE algorithm, which improves the local optimization ability of the algorithm and accelerate convergence by introducing the parameter adaptive tuning strategy. In addition, the proposed method introduces the charge repulsion simulation evolution method in the second stage of the ToPDE algorithm, which enables the algorithm to have a finer global evolution capability. Experimental results show that the proposed method has better performance than the ToPDE algorithm.

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A Uniform Design Method for Constrained Regions Based on Improved ToPDE

  • Hu Yujia,
  • Liu Tingrui,
  • Hu Xiaoru,
  • Li Wei,
  • Ma Ping

摘要

To address the problem of uniform experimental design in the constraint region, this paper proposes an improved ToPDE algorithm with higher performance based on the current more advanced two phase differential evolution (ToPDE) algorithm. Firstly, the proposed method optimizes the evolution of ToPDE algorithm, which improves the local optimization ability of the algorithm and accelerate convergence by introducing the parameter adaptive tuning strategy. In addition, the proposed method introduces the charge repulsion simulation evolution method in the second stage of the ToPDE algorithm, which enables the algorithm to have a finer global evolution capability. Experimental results show that the proposed method has better performance than the ToPDE algorithm.