Dynamic robot scheduling using a genetic algorithm

  title={Dynamic robot scheduling using a genetic algorithm},
  author={Kai Olav Ellefsen},
  journal={2011 IEEE Congress of Evolutionary Computation (CEC)},
This paper describes a genetic algorithm that was developed for optimizing plans in a robotic competition. The algorithm was used both as a static planner, making plans before matches, and as a dynamic replanner during matches, a task with much stricter demands of efficiency. The genetic algorithm was hybridized with a local search technique, which experiments proved essential to finding good solutions in this complex task. To enable rapid response under environmental changes, a heuristic for… CONTINUE READING

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