Genetic algorithm for dynamic path planning

@article{Elshamli2004GeneticAF,
  title={Genetic algorithm for dynamic path planning},
  author={A. Elshamli and H. A. Abdullah and Shawki Areibi},
  journal={Canadian Conference on Electrical and Computer Engineering 2004 (IEEE Cat. No.04CH37513)},
  year={2004},
  volume={2},
  pages={677-680 Vol.2}
}
Optimization in dynamically changing environments is a hard problem. Path planning for mobile robots is a complex problem that not only guarantees a collision-free with minimum traveling distance but also requires smoothness and clearances. This paper presents a genetic algorithm approach for solving the path planning problem in stochastic mobile robot environments. The genetic algorithm planner (GAP) is based on a variable length representation, where different evolutionary operators are… CONTINUE READING

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