%0 Journal Article
%T Model of intelligent cleaning robot based on behavior evolution<br>基于行为进化的智能保洁机器人模型
%A TANG Chen
%A TAN Rong
%A JIANG Jia-fu
%A <br>汤琛
%A 谭蓉
%A 蒋加伏
%J 计算机应用
%D 2006
%I 
%X 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).
%K cleaning robot
%K behavior evolution
%K neural network
%K Double-Population Genetic Algorithm(DPGA)<br>保洁机器人
%K 行为进化
%K 神经网络
%K 双种群遗传算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=81C933F73A2DF652&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=F3090AE9B60B7ED1&sid=BB16B2E6715919D5&eid=6070D5F75410BA41&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=6