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The Bike Sharing Problem

机译:自行车分享问题

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摘要

Assume that m ≥ 1 autonomous mobile agents and 0 ≤ b ≤ m single-agent transportation devices (called bikes) are initially placed at the left endpoint 0 of the unit interval [0, 1]. The agents are identical in capability and can move at speed one. The bikes cannot move on their own, but any agent riding bike i can move at speed v~i > 1. An agent may ride at most one bike at a time. The agents can cooperate by sharing the bikes; an agent can ride a bike for a time, then drop it to be used by another agent, and possibly switch to a different bike. We study two problems. In the Bike Sharing problem, we require all agents and bikes starting at the left endpoint of the interval to reach the end of the interval as soon as possible. In the Relaxed Bike Sharing problem, we aim to minimize the arrival time of the agents; the bikes can be used to increase the average speed of the agents, but are not required to reach the end of the interval. Our main result is the construction of a polynomial time algorithm for the Bike Sharing problem that creates an arrival-time optimal schedule for travellers and bikes to travel across the interval. For the Relaxed Bike Sharing problem, we give an algorithm that gives an optimal solution for the case when at most one of the bikes can be abandoned.
机译:假设M≥1个自主移动代理和0≤b≤M单次代理传送装置(称为自行车)最初放置在单元间隔的左端点0处[0,1]。该代理能力相同,可以在速度下移动。自行车无法自行移动,但任何骑手骑自行车,我可以以速度v〜i> 1.一次代理人一次可以在大多数自行车上骑行。代理商可以通过分享自行车来合作;代理人可以骑自行车一度,然后将其放入另一个代理,并且可能切换到不同的自行车。我们研究了两个问题。在自行车分享问题中,我们要求所有代理和自行车从间隔的左端点开始,尽快到达间隔结束。在轻松的自行车分享问题中,我们的目标是最大限度地减少代理人的到达时间;自行车可用于提高代理的平均速度,但不需要到达间隔结束。我们的主要结果是为自行车分享问题构建了多项式时间算法,为旅行者和自行车横跨间隔创造了抵达时间最佳计划。对于轻松的自行车分享问题,我们给出了一种算法,当大多数一辆自行车都可以放弃时,为这种情况提供最佳解决方案。

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