An innovative hybrid multi-objective particle swarm optimization with or without constraints handling

@article{Cheng2016AnIH,
  title={An innovative hybrid multi-objective particle swarm optimization with or without constraints handling},
  author={Shixin Cheng and Hao Zhan and Zhaoxin Shu},
  journal={Appl. Soft Comput.},
  year={2016},
  volume={47},
  pages={370-388}
}
This paper presents a new hybrid optimizer in which an innovative optimal particles local search strategy on basis of bound optimization by quadratic approximation (BOBYQA) algorithm and exterior penalty function method is integrated into particle swarm optimization (PSO). The main goal of the approach is to improve the convergence performance of PSO, and preserve the diversity of non-dominated set. Our algorithm selects some non-dominated solutions lied in less-crowded region of external… CONTINUE READING