Hybrid Genetic for the Single-Source Capacitated Multi-Facility Weber Problem
محورهای موضوعی : مجله بین المللی ریاضیات صنعتی
1 - Department of Industrial Engineering, Urmia University of Technology, Urmia, Iran.
2 - Department of Industrial Engineering, Urmia University, Urmia, Iran.
کلید واژه: Metaheuristic, Genetic algorithm, Location-allocation, Local search, Weber Problem,
چکیده مقاله :
In this paper, we investigate the Single-Source Capacitated Multi-Facility Weber Problem. The aim is to locate several new facilities among existing customers and simultaneously allocate customers to the facilities. A Genetic Algorithm is proposed for solving the problem, in which a local search method is embedded. The proposed Genetic Algorithm is tested on existing data sets to evaluate its robustness over available methods in the literature.
در این مقاله، ما مساله وبر چند تسهیلی با محدودیت ظرفیت تک منبعی را بررسی می کنیم. هدف استقرار چند تسهیل جدید در میان مشتریان موجود و به طور همزمان تخصیص مشتریان به تسهیلات می باشد، به طوری که محدودیت های ظرفیت تسهیلات برآورده شده و هر مشتری تمام تقاضایش را فقط از یک تسهیل فراهم نماید و در نتیجه هزینه کل حمل و نقل میان تسهیلات جدید و مشتریان موجود مینی مم شود. یک الگوریتم ژنتیک برای حل مساله ارائه میگردد که درون آن یک الگوریتم جستجوی محلی جاسازی شده است. الگوریتم ژنتیک پیشنهادی بر روی چند داده نمونه موجود در ادبیات آزمایش میگردد تا توانمندی آن در مقایسه با روش های موجود در ادبیات ارزیابی گردد.
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