Path planning for Unmanned Air Vehicles using an improved artificial bee colony algorithm

@article{Lei2012PathPF,
  title={Path planning for Unmanned Air Vehicles using an improved artificial bee colony algorithm},
  author={Lai Lei and Qu Shiru},
  journal={Proceedings of the 31st Chinese Control Conference},
  year={2012},
  pages={2486-2491}
}
  • Lai Lei, Qu Shiru
  • Published 2012 in
    Proceedings of the 31st Chinese Control…
Unmanned Aerial Vehicles (UAV) path planning can be considered as a complicated function optimization problem with constraint condition. Population based algorithm, especially the artificial bee colony (ABC) algorithm, is known as an effective tool to solve this problem. ABC algorithm is a relatively predominant optimization technique with an advantage of having fewer control parameters over other population algorithms. Considering the ergodicity and the stochastic of the chaotic map, we… CONTINUE READING

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