Gomes, Maria IsabelAfonso, Lourdes B.Chibeles-Martins, NelsonFradinho, Joana M.2019-07-152019-07-152018-01-0197833199615070302-9743PURE: 5759454PURE UUID: 1f828026-ea1b-458f-a99d-409bea10feb1Scopus: 85050611271ORCID: /0000-0003-0411-6003/work/54189665http://www.scopus.com/inward/record.url?scp=85050611271&partnerID=8YFLogxKA recently European Commission regulation requires insurance companies to determine the maximum value of insured fire risk policies of all buildings that are partly or fully located within circle of a radius of 200 m. In this work, we present the multi-start local search meta-heuristics that has been developed to solve the real case of an insurance company having more than 400 thousand insured buildings in mainland Portugal. A random sample of the data set was used and the solutions of the meta-heuristic were compared with the optimal solution of a MILP model based on the Maximal Covering Location Problem. The results show the proposed approach to be very efficient and effective in solving the problem.9721960engContinuous location problemLocal searchMeta-heuristicsSolvency IITheoretical Computer ScienceGeneral Computer Scienceconference object10.1007/978-3-319-96151-4_19https://www.scopus.com/pages/publications/85050611271