An Improved Multi-Objective Particle Swarm Optimization Algorithm

  title={An Improved Multi-Objective Particle Swarm Optimization Algorithm},
  author={Qiuming Zhang and Siqing Xue},
This paper proposes a dynamic sub-swarms multi-objective particle swarm optimization algorithm (DSMOPSO). Based on solution distribution of multi-objective optimization problems, it separates particles into multi subswarms, each of which adopts an improved clustering archiving technique, and operates PSO in a comparably independent way. Clustering eventually enhances the distribution quality of solutions. The selection of the closest particle to the gbest from archiving set and the developed… CONTINUE READING
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