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A Proposal and Evaluation of Heuristic Scheme to Determine Regular Route of Community Buses with Minimum Average Travel Time

机译:确定最小平均出行时间的社区公交规则路线的启发式方案的建议和评估

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This paper studies a problem of determining regular route of community buses in such a way that the degree of satisfaction of the passengers will be maximized. The satisfaction of passengers is assumed to be dependent on the travel time to their destination and the degree of congestion in the bus. In what follows, we call this problem regular bus routing problem (BRP, for short). We propose a heuristic scheme for solving BRP based on GRASP. In executing GRASP, that is known as a typical metaheuristic based on the multi-point search technique, several initial solutions are randomly generated, and are locally improved by using neighborhood search procedure. In the proposed scheme, we improve the procedure for generating initial solutions in such a way that it generates a large number of feasible (and possibly better) solutions as the initial solutions with a sufficiently short computation time. The effect of the proposed scheme is evaluated by comparing it with a scheme in which initial solutions are generated fully randomly. The result of experiments implies that the proposed scheme can output better solutions, although the number of initial solutions per time is less than 1% of the fully randomized scheme.
机译:本文研究以最大程度满足乘客满意度的方式确定社区公共汽车的常规路线的问题。假定乘客的满意度取决于到达他们目的地的旅行时间和公交车的拥挤程度。在下文中,我们将此问题称为常规总线路由问题(简称BRP)。我们提出了一种基于GRASP的启发式求解BRP的方案。在执行GRASP(基于多点搜索技术的典型的元启发式方法)时,会随机生成几个初始解,并通过使用邻域搜索过程对其进行局部改进。在提出的方案中,我们改进了生成初始解的过程,以使其生成了大量可行(并且可能更好)的解,作为具有足够短计算时间的初始解。通过将其与完全随机生成初始解的方案进行比较,可以评估该方案的效果。实验结果表明,尽管每次的初始解决方案的数量少于完全随机方案的1%,但该方案可以输出更好的解决方案。

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