Model of intelligent cleaning robot based on behavior evolution
基于行为进化的智能保洁机器人模型

Based on the research into the neural network, a model of intelligent cleaning robot was proposed by adopting the Double-Population Genetic Algorithm(DPGA) to evolve the weight of the neural network. This model simulated biologic behavior rule, and could rest on the environment to adopt the defined region search or the wide area search to sweep rubbish. The simulation experiment verifies the validity of the model and the superiority of the Double-Population Genetic Algorithm to the traditional Single-Population Genetic Algorithm(SPGA).