Localization Based on Business Interactions Through a Simulated Annealing Algorithm
This work is aimed at presenting a simulated annealing algorithm as a decision support tool for the localization problem of stores in metropolitan areas. The approach is based on the empirical estimation of attraction and repulsive forces that emerge as a consequence of the spatial interaction among businesses. Quantification of these externalities is carried out by means of networks modelling techniques. The methodology is illustrated with a case study in the city of Turin (Italy).
KeywordsSimulated annealing Localization problem Complex networks Externalities Decision support tools
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