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International Journal of Industrial Engineering and Productional Research-، جلد ۲۸، شماره ۴، صفحات ۰-۰
عنوان فارسی
چکیده فارسی مقاله
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عنوان انگلیسی Multi-objective evolutionary algorithms for a preventive healthcare facility network design
چکیده انگلیسی مقاله Preventive healthcare aims at reducing the likelihood and severity of potentially life-threatening illnesses by protection and early detection. In this paper, a bi-objective mathematical model is proposed to design a network of preventive healthcare facilities so as to minimize total travel and waiting time as well as establishment and staffing cost. Moreover, each facility acts as M/M/1 queuing system. The number of facilities to be established, the location of each facility, and the level of technology for each facility to be chosen are provided as the main determinants of a healthcare facility network. Since the developed model of the problem is of an NP-hard type, tri-meta-heuristic algorithms are proposed to solve the problem. Initially, Pareto-based meta-heuristic algorithm called multi-objective simulated annealing (MOSA) is proposed in order to solve the problem. To validate the results obtained, two popular algorithms namely, non-dominated sorting genetic algorithm (NSGA-II) and non-dominated ranking genetic algorithm (NRGA) are utilized. Since the solution-quality of all meta-heuristic algorithms severely depends on their parameters, Taguchi method has been utilized to fine tune the parameters of all algorithms. The computational results, obtained by implementing the algorithms on several problems of different sizes, demonstrate the reliable performances of the proposed methodology.
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نویسندگان مقاله کیوان روشن | keyvan roshan
islamic azad university, south tehran branch, tehran, iran

سازمان اصلی تایید شده: دانشگاه آزاد اسلامی علوم و تحقیقات (Islamic azad university science and research branch)

مهدی سیف برقی | mehdi seifbarghy
department of industrial engineering, alzahra university, tehran, iran

سازمان اصلی تایید شده: دانشگاه الزهرا (Alzahra university)

داور پیشوا | davar pishva
ritsumeikan asia pacific university 1-1 jumonjibaru, beppu, oita 874-8577 japan
نشانی اینترنتی http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-1055-1&slc_lang=en&sid=en
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/415/article-415-506895.pdf
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده مدل های شبیه سازی و احتمالی
نوع مقاله منتشر شده پژوهشی
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