Genetic Scheduling and Reinforcement Learning in Multirobot Systems for Intelligent Warehouses

@inproceedings{Dou2015GeneticSA,
  title={Genetic Scheduling and Reinforcement Learning in Multirobot Systems for Intelligent Warehouses},
  author={Jiajia Dou and Chunlin Chen and Pei Yang},
  year={2015}
}
A new hybrid solution is presented to improve the efficiency of intelligent warehouses with multirobot systems, where the genetic algorithm (GA) based task scheduling is combined with reinforcement learning (RL) based path planning for mobile robots. Reinforcement learning is an effective approach to search for a collision-free path in unknown dynamic environments. Genetic algorithm is a simple but splendid evolutionary search method that provides very good solutions for task allocation. In… CONTINUE READING

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