A memetic particle swarm optimization algorithm for multimodal optimization problems

@article{Wang2011AMP,
  title={A memetic particle swarm optimization algorithm for multimodal optimization problems},
  author={Hongfeng Wang and Ilkyeong Moon and Shengxiang Yang and Dingwei Wang},
  journal={2011 Chinese Control and Decision Conference (CCDC)},
  year={2011},
  pages={3839-3845}
}
In this paper, a new memetic algorithm, which combines PSO and local search technique, is proposed for mul-timodal optimization problems. In the investigated algorithm, a local PSO model is used to disperse the individuals into different sub-regions, an adaptive local search method is employed to refine the quality of individuals and a triggered re-initialization scheme is introduced to enhance the algorithm's capacity of solving functions with numerous optima. Experimental results based on a… CONTINUE READING
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