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Vehicle sharing system with fleet sizing and multi-transportation modes under allowable shortages: a hybrid metaheuristic approach

机译:在允许短缺的情况下,具有车队规模和多种运输方式的车辆共享系统:混合元启发式方法

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摘要

In this paper, a vehicle sharing system with multi-transportation modes and allowable shortage is presented. This model aims to minimize the system's total cost by using optimum locations and number of stations, routes, transportation modes, station capacities for different modes and time between stations balancing. Because of the model's complexity, currently available proprietary software is not able to solve the model in a reasonable computational time, so a hybrid algorithm based on a genetic algorithm (GA) and particle swarm optimization is presented. The results confirm its efficiency compared with the classic GA and exact solution methods. Moreover, a sensitivity analysis shows the applicability of the proposed algorithm.
机译:本文提出了一种具有多种运输方式和允许短缺的车辆共享系统。该模型旨在通过使用最佳位置和站点数量,路线,运输方式,不同模式的站点容量以及站点之间的平衡时间来最小化系统的总成本。由于模型的复杂性,目前无法使用专有软件在合理的计算时间内求解模型,因此提出了一种基于遗传算法和粒子群算法的混合算法。结果证实了其与经典GA和精确求解方法相比的效率。此外,敏感性分析表明了该算法的适用性。

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