An Adaptive Multiobjective Particle Swarm Optimization Based on Multiple Adaptive Methods

@article{Han2017AnAM,
  title={An Adaptive Multiobjective Particle Swarm Optimization Based on Multiple Adaptive Methods},
  author={Hong-gui Han and Wei Lu and Junfei Qiao},
  journal={IEEE Transactions on Cybernetics},
  year={2017},
  volume={47},
  pages={2754-2767}
}
Multiobjective particle swarm optimization (MOPSO) algorithms have attracted much attention for their promising performance in solving multiobjective optimization problems (MOPs). In this paper, an adaptive MOPSO (AMOPSO) algorithm, based on a hybrid framework of the solution distribution entropy and population spacing (SP) information, is developed to improve the search performance in terms of convergent speed and precision. First, an adaptive global best (gBest) selection mechanism, based on… CONTINUE READING

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