The Application of Hybrid Algorithm of Invasive Weed Optimization and Ant Colony Algorithm in Emergency Management

CAO Lei; YE Chun-ming

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The Application of Hybrid Algorithm of Invasive Weed Optimization and Ant Colony Algorithm in Emergency Management

更新时间：2026-09-04

- The Application of Hybrid Algorithm of Invasive Weed Optimization and Ant Colony Algorithm in Emergency Management
- Vol. 33, Issue 9, Pages: 150-154(2016)
- 作者机构：
  
  上海理工大学机构管理学院,上海,200093
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2016
- 稿件说明：
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曹磊, 叶春明. 杂草-蚁群算法在应急管理中的应用[J]. 微电子学与计算机, 2016, 33(9): 150-154.

CAO Lei, YE Chun-ming. The Application of Hybrid Algorithm of Invasive Weed Optimization and Ant Colony Algorithm in Emergency Management[J]. 2016, 33(9): 150-154.
曹磊, 叶春明. 杂草-蚁群算法在应急管理中的应用[J]. 微电子学与计算机, 2016, 33(9): 150-154. DOI：

CAO Lei, YE Chun-ming. The Application of Hybrid Algorithm of Invasive Weed Optimization and Ant Colony Algorithm in Emergency Management[J]. 2016, 33(9): 150-154. DOI：

摘要

将杂草-蚁群算法应用于应急车辆配置.用二段编码方式对杂草个体编码

使之对应于唯一应急方案.用蚁群算法优化车辆子路径

并通过杂草蚁群信息交互机制将优良信息回传给杂草群体.针对某区域内易于发生的两疫情分布及出现概率情况

运用混合算法优化灾区车辆配置

既满足救援需要又节约成本.针对不同应急车辆问题

此算法表现较优.可以看出

该算法对于此类问题的求解是有效的.

Abstract

Hybrid algorithm of invasive weed optimization and ant colony algorithm is applied to solve emergency vehicle configuration problem. A double-section weed can be decoded into one emergency plan. Sub route is optimized by ants

and good local information is got by weed population. Hybrid algorithm is used to optimize an emergency problem of one area with two objectives (time and cost). The results show algorithm haves an advantage in terms of different numbers of vehicles

and its an effective tool to solve this kind of problem.

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references

Mehrabian A R, Lucas C. A novel numerical optimization algorithm inspired from weed colonization[J]. Ecological Information, 2006, 1(4): 355-366. DOI: 355

李军, 郭耀煌. 物流配送车辆优化调度理论与方法[M]. 北京: 中囯物资出版社, 2001.

王凌. 车间调度及其遗传算法[M]. 北京: 清华大学出版社, 2003.

Ronchi E, Colonna P, Capote J, et al. The evaluation of different evacuation models for assessing road tunnel safety analysis[J]. Tunnelling and Underground Space Technology, 2012, 30(4): 74-84. DOI: 74

孙平, 朱伟, 王剑, 宋瑞, 等. 基于灾害评估的社区应急救援资源调配及模拟[J]. 中国安全科学学报, 2014, 24(3): 172-176. DOI: 172

吴华锋, 陈信强, 毛奇凰, 等. 基于自然选择策略的蚁群算法求解TSP问题[J]. 通信学报, 2013, 34(4): 165-170. DOI: 165

张玲, 董银红, 张敏. 基于情景分析的应急资源布局决策[J]. 系统工程, 2014, 20(3): 137-142. DOI: 137

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