Path planning for autonomous mobile robot navigation with ant colony optimization and fuzzy cost function evaluation

@article{Garca2009PathPF,
  title={Path planning for autonomous mobile robot navigation with ant colony optimization and fuzzy cost function evaluation},
  author={Miguel Angel Porta Garc{\'i}a and Oscar Montiel and Oscar Castillo and Roberto Sep{\'u}lveda and Patricia Melin},
  journal={Appl. Soft Comput.},
  year={2009},
  volume={9},
  pages={1102-1110}
}
In the Motion Planning research field, heuristic methods have demonstrated to outperform classical approaches gaining popularity in the last 35 years. Several ideas have been proposed to overcome the complex nature of this NP-Complete problem. Ant Colony Optimization algorithms are heuristic methods that have been successfully used to deal with this kind of problems. This paper presents a novel proposal to solve the problem of path planning for mobile robots based on Simple Ant Colony… CONTINUE READING
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References

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