Hybrid Comprehensive Learning Particle Swarm Optimizer with Adaptive Starting Local Search

@inproceedings{Cao2017HybridCL,
  title={Hybrid Comprehensive Learning Particle Swarm Optimizer with Adaptive Starting Local Search},
  author={Yulian Cao and Wenfeng Li and W. Art Chaovalitwongse},
  booktitle={ICSI},
  year={2017}
}
Particle Swarm Optimization (PSO) offers efficient simultaneous global and local searches but is challenged with the problem of slow local convergence. To address this issue, a hybrid comprehensive learning PSO algorithm with adaptive starting local search (ALS-HCLPSO) is proposed. Determining when to start local search is the main of ALS-HCLPSO. A quasi-entropy index is innovatively utilized as the criterion of population diversity to depict an aggregation degree of particles and to ascertain… CONTINUE READING