基于蚁群系统的道路应急修复时空网络流问题混合算法

S. Yan, Y. Shih
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引用次数: 48

摘要

在本研究中,我们采用蚁群系统(ACS)算法,结合阈值接受技术,开发了一种基于蚁群系统的混合算法,能够有效地解决紧急道路修复的时空网络流问题。为了测试该算法在实际操作中的应用效果,我们使用1999年台湾集集地震的数据进行了案例研究。为了评估模型和求解算法在不同道路网络模式下的鲁棒性,我们用四种不同的道路网络模式生成了16个问题实例。利用CPLEX直接求解问题的方法和前人提出的启发式算法与我们的算法进行了比较。测试结果表明,该算法能够有效地解决不同道路网络的问题,具有一定的实际应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An ant colony system-based hybrid algorithm for an emergency roadway repair time-space network flow problem
In this study, we employ an ant colony system (ACS) algorithm, coupled with a threshold accepting technique, to develop an ACS-based hybrid algorithm that is capable of efficiently solving an emergency roadway repair time-space network flow problem. To test how well the algorithm may be applied to actual operations, we perform a case study using data from the 1999 Chi-Chi earthquake in Taiwan. To assess the robustness of the model and solution algorithm for different roadway network patterns, we generate 16 problem instances with four different roadway network patterns. The method that uses CPLEX to directly solve the problem and a previously proposed heuristic are used to compare with our algorithm. The test results show that our algorithm is both effective and efficient enough to solve problems with different roadway networks, and therefore, would be useful in practice.
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来源期刊
Transportmetrica
Transportmetrica 工程技术-运输科技
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