A genetic algorithm and a particle swarm optimizer hybridized with Nelder-Mead simplex search

@article{Fan2006AGA,
  title={A genetic algorithm and a particle swarm optimizer hybridized with Nelder-Mead simplex search},
  author={Shu-Kai S. Fan and Yun-Chia Liang and Erwie Zahara},
  journal={Computers & Industrial Engineering},
  year={2006},
  volume={50},
  pages={401-425}
}
This paper integrates Nelder–Mead simplex search method (NM) with genetic algorithm (GA) and particle swarm optimization (PSO), respectively, in an attempt to locate the global optimal solutions for the nonlinear continuous variable functions mainly focusing on response surface methodology (RSM). Both the hybrid NM–GA and NM–PSO algorithms incorporate concepts from the NM, GA or PSO, which are readily to implement in practice and the computation of functional derivatives is not necessary. The… CONTINUE READING
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