Central Force Optimization: Nelder-Mead Hybrid Algorithm for Rectangular Microstrip Antenna Design

@inproceedings{Mahmoud2011CentralFO,
  title={Central Force Optimization: Nelder-Mead Hybrid Algorithm for Rectangular Microstrip Antenna Design},
  author={Korany R. Mahmoud},
  year={2011}
}
Abstract In this article, an efficient global hybrid optimization method is proposed combining central force optimization as a global optimizer and the Nelder-Mead algorithm as a local optimizer. After the final global iteration, a local optimization can be followed to further improve the solution obtained from central force optimization. The convergence capability of the hybrid central force optimization–Nelder-Mead approach is compared with other recent evolutionary-based algorithms using 13… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 17 CITATIONS

CFO Algorithm Using Niche and Opposition-Based Learning

  • 2018 14th International Conference on Computational Intelligence and Security (CIS)
  • 2018

Neighborhood topologies in central force optimization

  • 2017 IEEE Symposium Series on Computational Intelligence (SSCI)
  • 2017
VIEW 1 EXCERPT
CITES METHODS