Please use this identifier to cite or link to this item: http://hdl.handle.net/11400/1410
Title: Multi-Objective evolutionary algorithm for modeling of site suitability for health-care facilities
Authors: Alimohammadi, Abbas
Beheshtifar, Sara
Item type: Conference publication
Keywords: Geographic information systems;Multi-objective optimization;Evolutionary algorithms;Location modeling
Subjects: Medicine
Science Mathematics
Ιατρική
Μαθηματικά
Issue Date: 19-Jul-2014
May-2013
Date of availability: 18-Jul-2014
Publisher: Μαρβάκη, Χριστίνα
Abstract: Introduction: To meet ever-increasing demands for health-care services, it is necessary to determine optimal locations for new health-care facilities. Method: A multi-objective model based on the genetic algorithm (GA) has been applied to evaluate site suitability for new clinics in part of Tehran urban areas. A multi-objective GA has been combined with a single GA to solve the location-allocation problem composed of the three objective functions. Geo-spatial Information System (GIS) has been used to prepare, analyze and visualize spatial data. Results: The results showed that optimizing of a single objective may result in unacceptable solutions with respect to other objectives. For example, the best solution resulting from optimization of the second objective function (proximity of the sites to the streets), was the worst one according to the first (travel cost) and third (land-use compatibility) objective functions. Therefore, 10 alternative solutions as the Pareto front in the objective area were indentified and investigated. Conclusion: Visualization of the best solutions for each objective and compromise between different objectives provide valuable possibilities for selection of the best alternative for decision makers.
Description: Research article
Language: English
Citation: Beheshtifar, S. & Alimohammadi, A. (June 2013) Multi-Objective evolutionary algorithm for modeling of site suitability for health-care facilities. “Health Science Journal”. 7(2). p. 209-217.
Journal: Health Science Journal
Type of Journal: With a review process (peer review)
Access scheme: Publicly accessible
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
URI: http://hdl.handle.net/11400/1410
Appears in Collections:Τόμος 7, τεύχος 2 (Απρ. - Ιουν. 2013)

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