| 蚁群算法在自动化仓库路径规划中的应用 |
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| 引用本文： | 邓灵斌,邵军.蚁群算法在自动化仓库路径规划中的应用[J].情报探索,2014(12):70-72. |
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| 作者姓名： | 邓灵斌 邵军 |
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| 作者单位： | 南华大学经济管理学院 湖南衡阳 421001 |
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| 摘 要： | 针对复杂工作环境中的自动化仓库路径规划和协作问题,根据蚁群算法在路径选择上可以很快找到最短路径的特征,提出运用蚁群算法,建立自动化仓库路径规划模型,并进行模拟研究,得到最短路径解,同时也进一步验证了蚁群算法的有效性和实用性。
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| 关 键 词： | 路径规划 蚁群算法 信息素 最短路径 |
Application of Ant Colony Algorithm in Automated Warehouse Path Planning |
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| Deng Lingbin,Shao Jun.Application of Ant Colony Algorithm in Automated Warehouse Path Planning[J].Information Research,2014(12):70-72. |
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| Authors: | Deng Lingbin Shao Jun |
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| Institution: | Deng Lingbin Shao Jun ( Economics Management School, University of South China, Hengyang Hunan 421001 ) |
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| Abstract: | The paper aims at issues of automated warehouse path planning and collaboration in complex work environment, and bases on the feature that ant colony algorithm can quickly find the shortest path, puts forward applying ant colony algorithm to build a model for automated warehouse path planning, conducts a simulation study, gets shortest path solution, and also verifies effectiveness and practicability of ant colony algorithm. |
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| Keywords: | path planning ant colony algorithm pheromone shortest path |
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