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A mixed-integer linear programming approach to the optimization of event-bus schedules: a scheduling application in the tourism sector

机译:混合整数线性规划方法可优化事件公交时刻表:旅游业中的调度应用

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This paper deals with "The Enchanted Journey," which is a daily event tour booked by Bollywood-film fans. During the tour, the participants visit original sites of famous Bollywood films at various locations in Switzerland; moreover, the tour includes stops for lunch and shopping. Each day, up to five buses operate the tour. For operational reasons, however, two or more buses cannot stay at the same location simultaneously. Further operative constraints include time windows for all activities and precedence constraints between some activities. The planning problem is how to compute a feasible schedule for each bus. We implement a two-step hierarchical approach. In the first step, we minimize the total waiting time; in the second step, we minimize the total travel time of all buses. We present a basic formulation of this problem as a mixed-integer linear program. We enhance this basic formulation by symmetry-breaking constraints, which reduces the search space without loss of generality. We report on computational results obtained with the Gurobi Solver. Our numerical results show that all relevant problem instances can be solved using the basic formulation within reasonable CPU time, and that the symmetry-breaking constraints reduce that CPU time considerably.
机译:本文涉及“魔法之旅”,这是宝莱坞电影迷预订的每日活动之旅。参观期间,参加者参观了瑞士各个地方的宝莱坞著名电影的原址;此外,旅游包括午餐和购物站点。每天最多有五辆巴士在游览。但是,出于操作原因,两辆或多辆公共汽车不能同时停留在同一位置。其他操作约束包括所有活动的时间窗口以及某些活动之间的优先约束。规划的问题是如何为每条总线计算可行的时间表。我们实施了两步分层方法。第一步,我们将等待总时间减到最少。在第二步中,我们将所有公交车的总行驶时间减至最少。我们以混合整数线性程序的形式介绍了此问题的基本公式。我们通过打破对称性的约束来增强此基本公式,从而在不损失通用性的情况下减少了搜索空间。我们报告使用Gurobi解算器获得的计算结果。我们的数值结果表明,使用基本公式可以在合理的CPU时间内解决所有相关的问题实例,并且对称性突破约束大大减少了该CPU时间。

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