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Locating Emergency Facilities Using the Weighted k-median Problem: A Graph-metaheuristic Approach

机译:使用加权k中位问题定位应急设施:图形 - 成型方法

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An efficient approach is presented for addressing the problem of finding the optimal facilities location in conjunction with the k-median method.First the region to be investigated is meshed and an incidence graph is constructed to obtain connectivity properties of meshes.Then shortest route trees (SRTs) are rooted from nodes of the generated graph.Subsequently,in order to divide the nodes of graph or the studied region into optimal k subregions,k-median approach is utilized.The weights of the nodes are considered as the risk factors such as population,seismic and topographic conditions for locating facilities in the high-risk zones to better facilitation.For finding the optimal facility locations,a recently developed meta-heuristic algorithm that is called Colliding Bodies Optimization (CBO) is used.The performance of the proposed method is investigated through different alternatives for minimizing the cost of the weighted k-median problem.As a case study,the Mazandaran province in Iran is considered and the above graph-metaheuristic approach is utilized for locating the facilities.
机译:结合k-中值法,提出了一种有效的设施选址方法。首先对要研究的区域进行网格划分,并构造关联图以获得网格的连通性。然后从生成的图的节点中生成最短路径树(SRT)。随后,为了将图的节点或研究区域划分为最佳的k个子区域,采用了k-中值方法。节点的权重被视为风险因素,如人口、地震和地形条件,以便在高风险区内更好地定位设施。为了寻找最佳设施位置,使用了最近开发的元启发式算法,称为碰撞体优化(CBO)。为了最小化加权k-中值问题的代价,通过不同的方案研究了该方法的性能。作为一个案例研究,考虑了伊朗的马赞达兰省,并利用上述图元启发式方法定位设施。

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