| 基于蚁群算法的煤矿运输车辆调度应用研究 |
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| 引用本文： | 孙晓莹,徐红霞. 基于蚁群算法的煤矿运输车辆调度应用研究[J]. 煤炭技术, 2012, 31(7): 140-142 |
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| 作者姓名： | 孙晓莹 徐红霞 |
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| 作者单位： | 1. 南阳理工学院,河南南阳,473004
2. 济源职业技术学院,河南济源,459000 |
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| 摘 要： | 现代物流运输煤矿运输车辆调度过程复杂多变,蚁群算法是一种新型的启发式搜索算法,可以很好地解决这一问题。传统蚁群算法容易出现早熟和停滞现象,因此,通过对基本蚁群算法中的选择策略和信息素的改进,提出一种新的蚁群算法,克服传统蚁群算法的缺陷。将它用于求解煤矿运输车辆调度问题,仿真实验证明了改进算法的有效性和可行性。
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| 关 键 词： | 蚁群算法 信息素 煤矿运输 车辆调度问题 |
Study of Scheduling of Coal Mine Transport Vehicles Based on Ant Colony Algorithm |
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| SUN Xiao-ying , XU Hong-xia. Study of Scheduling of Coal Mine Transport Vehicles Based on Ant Colony Algorithm[J]. Coal Technology, 2012, 31(7): 140-142 |
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| Authors: | SUN Xiao-ying XU Hong-xia |
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| Affiliation: | 1.Nanyang Institute of Technology,Nanyang 473004,China;2.Jiyuan Vocational College,Jiyuan 459000,China) |
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| Abstract: | In modern logistics and transport,coal mine transport vehicle scheduling process is complex,ant colony algorithm as a new heuristic search algorithm,can solve this problem.However,the traditional ant colony algorithm is prone to premature and stagnation,by improving the choice strategies and imformation data of the basic ant colony algorithm,a new ant colony algorithm is procided to overcome the shortcomings of the traditional ant colony algorithm,which is used to solve the coal transport vehicles dispalch,problem,the simulation results show that the improved algorithm is effectiveness and feasibility. |
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| Keywords: | ant colony algorithm pheromone coal mine transport,vehicle dispatch problem |
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