Abstract
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).
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Sánchez-Saiz, R., Galán, J., Santos, J. (2014). Localization Based on Business Interactions Through a Simulated Annealing Algorithm. In: Hernández, C., López-Paredes, A., Pérez-Ríos, J. (eds) Managing Complexity. Lecture Notes in Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-04705-8_38
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DOI: https://doi.org/10.1007/978-3-319-04705-8_38
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