Title | ||
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Using Voronoi diagrams to solve a hybrid facility location problem with attentive facilities |
Abstract | ||
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In this paper, we introduce a novel class of facility location problems, and propose solutions based on Voronoi diagrams. Our solutions locate a set of facilities on a two dimensional space, with respect to a set of dynamic demand. The information about these demand is gathered through modifications of the overall system, into a central decision unit. This influences our objective of minimizing the total loss function. Considering a continuous space and discrete time, facilities are assigned to meet demands in each time cycle. Two distinct approaches are proposed and thoroughly studied, followed by a case study. We call our main algorithm Reactive Agent Dynamic Voronoi Diagram Facility Spread. We also test our solutions empirically through a set of experiments. Considering n and p to be the number of demand points, and the number of facilities in hand, respectively, the time complexity of the algorithm is O(c(n^2+p)logn) for a complete run of c cycles. |
Year | DOI | Venue |
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2013 | 10.1016/j.ins.2013.01.017 | Inf. Sci. |
Keywords | Field | DocType |
attentive facility,solutions empirically,demand point,dimensional space,time cycle,continuous space,hybrid facility location problem,discrete time,voronoi diagram,time complexity,dynamic demand,reactive agent dynamic voronoi,computational geometry,algorithm,artificial intelligence,facility location | Mathematical optimization,Computational geometry,Facility location problem,Dynamic demand,Artificial intelligence,Voronoi diagram,Discrete time and continuous time,Time complexity,1-center problem,Two-dimensional space,Mathematics,Machine learning | Journal |
Volume | ISSN | Citations |
234, | 0020-0255 | 5 |
PageRank | References | Authors |
0.41 | 11 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Arman Didandeh | 1 | 13 | 3.35 |
Bahram Sadeghi Bigham | 2 | 15 | 7.47 |
Mehdi Khosravian | 3 | 5 | 0.41 |
Farshad Bakhshandegan Moghaddam | 4 | 23 | 4.35 |