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首页> 外文期刊>International Journal of Operational Research >A tabu search heuristic for solving the multi-depot, multi-vehicle, double request dial-a-ride problem faced by a healthcare organisation
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A tabu search heuristic for solving the multi-depot, multi-vehicle, double request dial-a-ride problem faced by a healthcare organisation

机译:一种禁忌搜索启发式方法,用于解决医疗保健组织所面临的多站点,多车辆,双重请求的转乘问题

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摘要

In the Center for Addictive Behavior Health and Recovery Services, Inc. (CAB) based in Massachusetts, a dial-a-ride system has been in operation to serve outpatients such as drug and alcohol addicts requesting both delivery and pickup services through telephone calls. As the number of outpatients continues to increase with constrained vehicle capacity and operating budget, CAB copes with the onerous task of minimising the service disruptions and vehicle operating costs. To handle this challenging task, we developed an integer programming model and a tabu search heuristic for solving that model. A series of computational experiments that we made through the real-world problems encountering CAB substantiated the practicality of the proposed model and tabu search heuristic. In addition, the solution quality (accuracy) and computational efficiency of the tabu search heuristic were verified by comparing its test result to those of the branch and bound algorithm.
机译:在位于马萨诸塞州的成瘾行为健康与康复服务中心(CAB)中,已经运行了拨号拨号系统,以服务门诊病人,例如吸毒和酗酒的门诊病人,要求他们通过电话同时提供接送服务。随着门诊病人数量的不断增加以及车辆容量和运营预算的限制,CAB承担了将服务中断和车辆运营成本降至最低的繁重任务。为了处理这一具有挑战性的任务,我们开发了整数编程模型和禁忌搜索启发式算法来解决该模型。我们通过遇到CAB的实际问题进行的一系列计算实验证实了所提出模型和禁忌搜索启发式算法的实用性。另外,通过将禁忌搜索启发式算法的测试结果与分支定界算法的测试结果进行比较,验证了禁忌搜索启发式算法的解决方案质量(准确性)和计算效率。

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