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An Adapted Genetic Algorithm for Vehicle Routing Problem Confronting Uncertainty

عنوان مقاله: An Adapted Genetic Algorithm for Vehicle Routing Problem Confronting Uncertainty
شناسه ملی مقاله: IIEC07_052
منتشر شده در هفتمین کنفرانس بین المللی مهندسی صنایع در سال 1389
مشخصات نویسندگان مقاله:

Babak Farhang Moghadam - Islamic Azad University- Parand branch
Seyed Jafar Sadjadi - Iran University of Science and Technology
Elham Farhash - Iran University of Science and Technology

خلاصه مقاله:
During the past decade, there have been tremendous efforts on the concept of supply chain such as Vehicle Routing Problem (VRP). VRP is normally formulated as a mixed integer problem. However, exact solution often cannot be found for large scale problems when some of the parameters are under uncertainty. In the paper, an application of a genetic algorithm is considered to solve the VRP which serves customers with uncertain demand

کلمات کلیدی:
Vehicle Routing Problem, Robust Optimization, Heuristic methods, Genetic Algorithm, Demand uncertainty

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/93476/