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The multi-objective competitive location problem for congested systems

عنوان مقاله: The multi-objective competitive location problem for congested systems
شناسه (COI) مقاله: MANAGEMENT01_007
منتشر شده در اولین همایش بین المللی علوم مدیریت پیشرفت ها، نوآوری ها و چالش ها در سال 1394
مشخصات نویسندگان مقاله:

Naeme Zarrinpoor - Ph.D Student of Industrial Engineering, Yazd University

خلاصه مقاله:
In this paper, we introduce a multi-objective competitive location model for congested systems considering probabilistic-choice behavior and existing competitors in the market. The user-choice behavior is considered based on gravity function that depends on both quality/reputation of service provider and the traveling time to facility. Since the derived model belongs to NP-hard multi-objective optimization problems, thus two multi-objective genetic algorithms are proposed to solve the model. In order to evaluate the performance of two multi-objective genetic algorithms we compared the average number of Pareto-optimal solutions and run time of each algorithm. Computational results show the performance of the solution methods is reasonable.

کلمات کلیدی:
Competitive facility location, Market share, Congestion, Gravity function, Multi-objective Genetic algorithm

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