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
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:
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
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/