Modeling, analysis and simulation on searching for global optimum region of particle swarm optimization

@article{Liu2017ModelingAA,
  title={Modeling, analysis and simulation on searching for global optimum region of particle swarm optimization},
  author={Jun Liu and Ping Li and Xiaoning Ma and Jiaxun Xie},
  journal={2017 IEEE Congress on Evolutionary Computation (CEC)},
  year={2017},
  pages={813-821}
}
In the case of particle swarm optimization, this paper mainly analyzes and discusses the mathematical model and the analysis on searching for the global optimum region. Firstly, the global optimum region Θ is defined and calculated in the convergence step and the divergence step. Furthermore, the rate μ of locating into the global optimum region is mathematically related to the number of particles, the number of generations, the fitness landscape, the ratio between exploration ability and… CONTINUE READING