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Static rebalancing optimization with considering the collection of malfunctioning bikes in free-floating bike sharing system

机译:考虑到自由浮动自行车共享系统故障自行车集合的静态重新平衡优化

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摘要

This study considers multiple depots, heterogeneous trucks and multiple visiting in a static bike rebalancing optimization problem with malfunctioning bikes in free-floating bike sharing system. An integer linear programming model is established for this problem and an effective greedy genetic heuristic is developed to solve it. Share-A-Bull shared bicycle system is used to test the effectiveness of the proposed algorithm. Divvy bike sharing system is utilized to test a large-scale instance in real life, quantify the benefits of this comprehensive repositioning strategy compared with separate repositioning strategy, and analyze some special properties of this comprehensive operation.
机译:本研究考虑了在自由浮动自行车共享系统中的故障自行车的静态自行车再平衡优化问题中进行多个仓库,异构卡车和多次访问。为该问题建立了整数线性编程模型,开发了有效的贪婪遗传启发式来解决它。分享-A-Bull共享自行车系统用于测试所提出的算法的有效性。 Divvy自行车共享系统用于在现实生活中测试大规模的实例,量化这种综合重新定位策略的好处与单独的重新定位策略相比,分析了这一综合操作的一些特殊性。

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