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基于遗传算法的机器人主动嗅觉研究 被引量：3

Mobile Robots Odor Localization with an Genetic Algorithm
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摘要 提出了基于遗传算法的多机器人主动嗅觉的一种新的实现策略。首先给出一个简单的多峰值的烟羽模型且只有一个最大值;其次给出在此仿真环境中的基于遗传算法的机器人主动嗅觉实现过程。仿真结果验证了该搜索策略的有效性。 This article proposes a new implementation scheme of muti-robot odor localization based on genetic algorithm（GA）.Firstly,a simple multi-hump plume model with a maximum only is set up.Secondly,the implementation procedure of mobile robot odor localization（MROL） based on GA in the stimulated environment is presented.The simulation results validate the proposed search schem.
作者 石志标 孙江波
机构地区 东北电力大学机械工程学院
出处 《东北电力大学学报》 2011年第1期61-64,共4页 Journal of Northeast Electric Power University
关键词 遗传算法 机器人主动嗅觉 烟羽模型 Genetic algorithm Mobile robot odor localization Plume model
分类号 TP24 [自动化与计算机技术—检测技术与自动化装置]
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参考文献7

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二级参考文献36

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共引文献82

同被引文献70

引证文献3

二级引证文献14

东北电力大学学报
2011年 第1期

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