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Solving a Location-Allocation problem by a fuzzy self-adaptive NSGA-II
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نویسنده
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salehi hossein ,tavakkoli-moghaddam reza ,taleizadeh ata allah ,hafezalkotob ashkan
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منبع
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journal of industrial and systems engineering - 2019 - دوره : 12 - شماره : 4 - صفحه:18 -26
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چکیده
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This paper proposes a modified non-dominated sorting genetic algorithm (nsga-ii) for a bi- objective location-allocation model. the purpose is to define the best places and capacity of the distribution centers as well as to allocate consumers, in such a way that uncertain consumers’ demands are satisfied. the objectives of the mixed-integer nonlinear programming (minlp) model are to (1) minimize the total cost of the network and (2) maximize the utilization of distribution centers. to solve the problem, a fuzzy modified nsga-ii with local search is proposed. to illustrate the results, computational experiments are generated and solved. the experimental results demonstrate that the performance metrics of the fuzzy modified nsga-ii is better than the original nsga-ii.
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کلیدواژه
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Location-Allocation ,fuzzy rule base ,multi-objective evolutionary algorithm
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آدرس
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islamic azad university, south tehran branch, school of industrial engineering, Iran, university of tehran, school of industrial engineering, college of engineering, Iran, university of tehran, school of industrial engineering, college of engineering, Iran, islamic azad university, south tehran branch, school of industrial engineering, Iran
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پست الکترونیکی
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ashkan.hafez@gmail.com
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Authors
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