| 基于行为进化的智能保洁机器人模型 |
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| 引用本文： | 汤琛,谭蓉,蒋加伏.基于行为进化的智能保洁机器人模型[J].计算机应用,2006,26(10):2444-2445. |
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| 作者姓名： | 汤琛 谭蓉 蒋加伏 |
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| 作者单位： | 长沙理工大学,计算机与通信工程学院,湖南,长沙,410076 |
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| 摘 要： | 通过对神经网络的研究，采用双种群遗传算法（DPGA）来进化神经网络的权值，提出了一种智能保洁机器人模型。该模型模拟生物的行为规律，能够依据周围环境采取限定区域搜索或者广域搜索方式清扫垃圾。仿真实验表明了该模型的有效性，通过比较也体现了双种群遗传算法较之传统单种群遗传算法（SPGA）的优越性。
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| 关 键 词： | 保洁机器人 行为进化 神经网络 双种群遗传算法 |
| 文章编号： | 1001-9081（2006）10-2444-02 |
| 收稿时间： | 2006-04-10 |
| 修稿时间： | 2006-04-102006-06-16 |
Model of intelligent cleaning robot based on behavior evolution |
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| TANG Chen,TAN Rong,JIANG Jia-fu.Model of intelligent cleaning robot based on behavior evolution[J].journal of Computer Applications,2006,26(10):2444-2445. |
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| Authors: | TANG Chen TAN Rong JIANG Jia-fu |
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| Affiliation: | College of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha Hunan 410076, China |
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| Abstract: | 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). |
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| Keywords: | cleaning robot behavior evolution neural network Double-Population Genetic Algorithm(DPGA) |
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