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The Growth Optimizer (GO) is an innovative and robust metaheuristic optimization algorithm designed to replicate the learning and introspection processes individuals experience during social development. A novel growth optimizer is proposed based on this foundation. This paper proposes a Nelder-Mead simplex growth optimizer (NMSGO) algorithm, accompanied by simulation studies. The trials utilized the CEC2017 function set, and the results indicate that NMSGO demonstrates superior performance inside this test function set.

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The Nelder-Mead Simplex Growth Optimizer Algorithm

  • 会议论文

  • 发表日期：

    2026年

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  • Jeng-Shyang Pan,
  • Wenda Li,
  • Bin Yan,
  • Václav Snášel,
  • Shu-Chuan Chu

摘要

The Growth Optimizer (GO) is an innovative and robust metaheuristic optimization algorithm designed to replicate the learning and introspection processes individuals experience during social development. A novel growth optimizer is proposed based on this foundation. This paper proposes a Nelder-Mead simplex growth optimizer (NMSGO) algorithm, accompanied by simulation studies. The trials utilized the CEC2017 function set, and the results indicate that NMSGO demonstrates superior performance inside this test function set.