Evolutionary artificial potential fields and their application in real time robot path planning

@article{Vadakkepat2000EvolutionaryAP,
  title={Evolutionary artificial potential fields and their application in real time robot path planning},
  author={Prahlad Vadakkepat and Kay Chen Tan and Wang Ming-Liang},
  journal={Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512)},
  year={2000},
  volume={1},
  pages={256-263 vol.1}
}
A new methodology named Evolutionary Artificial Potential Field (EAPF) is proposed for real-time robot path planning. The artificial potential field method is combined with genetic algorithms, to derive optimal potential field functions. The proposed EAPF approach is capable of navigating robot(s) situated among moving obstacles. Potential field functions for obstacles and goal points are also defined. The potential field functions for obstacles contain tunable parameters. The multi-objective… 
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