A Region Decomposition-Based Multi-objective Particle Swarm Optimization Algorithm

@article{Chen2014ARD,
  title={A Region Decomposition-Based Multi-objective Particle Swarm Optimization Algorithm},
  author={Lei Chen and Hai-Lin Liu},
  journal={IJPRAI},
  year={2014},
  volume={28}
}
In this paper, a novel multi-objective particle swarm optimization algorithm based on MOEA/ D-M2M decomposition strategy (MOPSO-M2M) is proposed. MOPSO-M2M can decompose the objective space into a number of subregions and then search all the subregions using respective sub-swarms simultaneously. The M2M decomposition strategy has two very desirable properties with regard to MOPSO. First, it facilitates the determination of the global best (gbest) for each sub-swarm. A new global attraction… CONTINUE READING