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The Robustness of Hybrid Algorithms in Multimodal Functions Optimization. 姓名: 何怡偉 元智工業工程與管理博士班. The characteristic of Nelder-Mead simplex method. A simple direct search technique. Easy to use and does not need the derivatives of the function.

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the robustness of hybrid algorithms in multimodal functions optimization

The Robustness of Hybrid Algorithms in Multimodal Functions Optimization

姓名: 何怡偉

元智工業工程與管理博士班

the characteristic of nelder mead simplex method
The characteristic of Nelder-Mead simplex method
  • A simple direct search technique.
  • Easy to use and does not need the derivatives of the function.
  • Very sensitive to the choice of initial points and not guaranteed to attain the global optimum.
the characteristic of evolutionary computation technique
The characteristic of evolutionary computation technique
  • Eventually locate the desired solution.
  • The high computational cost of the slow convergence rate.
  • Do not utilize much local information to determine a most promising search direction.
summary
Summary
  • The proposed hybrid NM-GA and NM-PSO are indeed effective, reliable, efficient and robust at locating best-practice optimum solutions for multimodal functions.
  • Stochastic Optimization