Pigeon-inspired optimization: a new swarm intelligence optimizer for air robot path planning

@article{Duan2014PigeoninspiredOA,
  title={Pigeon-inspired optimization: a new swarm intelligence optimizer for air robot path planning},
  author={Haibin Duan and Peixin Qiao},
  journal={Int. J. Intelligent Computing and Cybernetics},
  year={2014},
  volume={7},
  pages={24-37}
}
Purpose – The purpose of this paper is to present a novel swarm intelligence optimizer — pigeoninspired optimization (PIO) — and describe how this algorithm was applied to solve air robot path planning problems. Design/methodology/approach – The formulation of threat resources and objective function in air robot path planning is given. The mathematical model and detailed implementation process of PIO is presented. Comparative experiments with standard differential evolution (DE) algorithm are… CONTINUE READING

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