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Personal tour planning incorporating standard tour routes and tourist satisfaction

机译:个人旅行计划,包括标准旅行路线和游客满意度

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This paper proposes a personal tour planning problem incorporating general tour routes and tourists satisfactions for sightseeing places based on some purposes of tourism. In order to construct a tour route, time-dependent satisfactions, traveling and activity duration times for sightseeing should be considered, but it is difficult to represent the time-dependent model using general static network models. Therefore, Time-Expanded Network (TEN) is introduced, which contains a copy to the set of nodes in the underlying static network for each discrete time step, and it turns the problem of determining an optimal flow over time into a classical static network flow problem. The proposed model is formulated as a bi-objective 0-1 integer programming problem maximizing the total satisfaction value and minimizing the difference from the best plan of standard tour routes. It also equivalently transformed into several existing tour planning problems using some natural assumptions and the concept of Pareto optimal solution, which can be applied existing useful combinatorial optimization and soft computing algorithms.
机译:本文基于旅游的某些目的,提出了一个包含一般游览路线和游客对观光地点的满意度的个人旅游计划问题。为了构建游览路线,应考虑观光游览的时间相关满意度,旅行时间和活动持续时间,但是很难使用常规的静态网络模型来表示时间依赖性模型。因此,引入了时间扩展网络(TEN),其中包含每个离散时间步长在基础静态网络中的节点集的副本,这将确定随时间推移的最佳流量的问题变成了经典的静态网络流量。问题。提出的模型被公式化为双目标0-1整数规划问题,该问题最大程度地提高了总满意度值,并且使与标准游览路线的最佳计划的差异最小。使用一些自然假设和帕累托最优解的概念,它同样等效地转换为几个现有的旅行计划问题,这些问题可以应用于现有的有用组合优化和软计算算法。

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