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Solving the competitive facility location problem considering the reactions of competitor with a hybrid algorithm including Tabu Search and exact method

机译:结合禁忌搜索和精确方法的混合算法,解决考虑竞争者反应的竞争性设施选址问题

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In this paper, a leader–follower competitive facility location problem considering the reactions of the competitors is studied. A model for locating new facilities and determining levels of quality for the facilities of the leader firm is proposed. Moreover, changes in the location and quality of existing facilities in a competitive market where a competitor offers the same goods or services are taken into account. The competitor could react by opening new facilities, closing existing ones, and adjusting the quality levels of its existing facilities. The market share, captured by each facility, depends on its distance to customer and its quality that is calculated based on the probabilistic Huff’s model. Each firm aims to maximize its profit subject to constraints on quality levels and budget of setting up new facilities. This problem is formulated as a bi-level mixed integer non-linear model. The model is solved using a combination of Tabu Search with an exact method. The performance of the proposed algorithm is compared with an upper bound that is achieved by applying Karush–Kuhn–Tucker conditions. Computational results show that our algorithm finds near the upper bound solutions in a reasonable time.
机译:在本文中,研究了考虑竞争者反应的领导者与跟随者竞争性设施选址问题。提出了一种用于定位新设施并确定领导企业设施质量水平的模型。此外,考虑了竞争者提供相同商品或服务的竞争市场中现有设施的位置和质量的变化。竞争对手可以通过开设新设施,关闭现有设施并调整其现有设施的质量水平来做出反应。每个工厂所占据的市场份额取决于其与客户的距离以及根据概率霍夫模型计算得出的质量。每个公司的目标是在质量水平和建立新设施的预算约束下,最大化其利润。该问题被表述为两级混合整数非线性模型。使用禁忌搜索和精确方法的组合来求解模型。将该算法的性能与通过应用Karush–Kuhn–Tucker条件获得的上限进行比较。计算结果表明,我们的算法在合理的时间内找到了上限解。

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