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Cimo: an efficient 2-phases calculator of multimodal itineraries for real trans-territories based on a dynamic programming

机译:CIMO:基于动态编程的真实跨境的多峰行程的高效2阶段计算器

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In this work we propose an exact solution for calculating multimodal itinerary. This solution is named Cimo (Cal-culateur d'Itinéraires Multimodaux Ordonnés). Cimo is an exact optimal itineraries' calculator wherein itineraries are sorted, multimodal, and trans-territorial. The solution is based on a dynamic programming algorithm "cut", "price" and "share". This solution is multi-objectives and multi-constraints. Several versions of this algorithm are proposed following a methodological approach that enables evaluation of efficiency and complexity's gain : through theoretical calculus and benchmarks. In the first version of realistic problem, we propose a solution with itineraries calculated exhaustively and satisfying all the constraints (version. 1.0), then a solution with incremental display of itineraries, including the optimal, following the in-depth course strategy and a smart sorted list of stations and the best itinerary previously calculated (version 1.2), another one's with the calculation of the best solution by implementing the cut on a subset of objectives, as well as the impossibility that a itinerary passes 2 times in the same station (version 2.0). One of the original features of Cimo is that it makes a preliminary phase of calculation of optimal itineraries, modulo the combinatorial instantiation of tri-modalities and also the very first satisfying transition schedule. During the second phase, all other objectives are valued following a certain hierarchy. The second novelty is that Cimo produces the best solution and it is speed-up by a smart sorted list of accessible stations from a reference station according to the degree of correspondence as well as proximity to the target station (version 3.0).
机译:在这项工作中,我们提出了计算多行程的精确解。该解决方案被命名为CIMO(卡尔 - culateur D'Itineraires酒店MultimodauxOrdonnés)。 CIMO是一种精确最佳行程计算器,其特征在于路线进行排序,多峰,和反式领土。该解决方案是基于动态规划算法“腰斩”,“价格”和“共享”。该解决方案是一个多目标,多约束。该算法的几个版本提出以下方法论的方法,使效率和复杂性的增益的评价:通过理论演算和基准。在现实问题的第一个版本中,我们提出与行程穷尽计算并满足所有约束条件(版本1.0),然后用路线的增量显示,包括最佳的溶液的溶液中,以下的深入当然策略和智能站的排序的列表和最佳行程先前计算的(版本1.2),另一个与通过实施上的目标的一个子集的切口,以及不可能,一个行程通过在同一个站2倍的最佳解决方案的计算(版本2.0)。之一的CIMO的原始特征是,它使最佳行程的计算的初步阶段,模三模态的组合的实例化,并且还非常第一满足过渡计划。在第二阶段,所有其他目标的价值按照一定的层次结构。第二新颖性在于CIMO产生最佳解决方案,它是加速通过根据对应性程度以及接近目标站(版本3.0)从参考站可访问的站的智能排序列表。

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