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其他書名
A Case Study
出版SSRN, 2023
URLhttp://books.google.com.hk/books?id=hFJF0AEACAAJ&hl=&source=gbs_api
註釋This work addresses the Multi-objective Mammography Unit Location-allocation Problem (MOMULAP) aiming to meet three objectives: maximize mammography screening coverage, minimize the total distance traveled weighted by the number of users, and maximize equity of access to mammography screening. We introduce a mixed-integer nonlinear programming (MINLP) formulation to represent the MOMULAP, and NSGA-II and SPEA2-based algorithms for treating it. The algorithms were tested with data from seven Brazilian states. In these states, the number of cities ranges from 139 to 853, equipment from 23 to 347, and estimated annual demand for screenings from 96592 to 1739085. The solutions made available by this proposal provide healthcare managers with a tool to support them in choosing the non-dominated solution of greatest interest considering different contexts.