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A Dual-Objective Nonlinear Model for Network Design with NSGA Algorithm | ||
Journal of Advances in Computer Research | ||
مقاله 7، دوره 10، شماره 3 - شماره پیاپی 37، آبان 2019، صفحه 97-113 اصل مقاله (1.17 M) | ||
نوع مقاله: Original Manuscript | ||
نویسندگان | ||
Bahar Khamfroush1؛ Mohamad Reza Akbari Jokar2؛ Keyhan Khamforoosh* 3 | ||
1Department of Industrial Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran | ||
2Department of Industrial Engineering, Sharif University of Technology, Tehran ,Iran | ||
3Department of Computer Engineering, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran | ||
چکیده | ||
This study concerns the development of a nonlinear programming model capable of solving an adapted version of a single-objective nonlinear problem. The original problem was adapted via the inclusion of an additional constraint and term in the objective function. The resultant aim is twofold: to optimize a three-level supply chain so as to decrease objective costs (such as shortage periods) while simultaneously increasing customer service levels. Demand is random and the inventory control system continuous. Lost sales due to urgent demand are assumed. After evaluating the formulated mathematical model, a metaheuristic algorithm is developed capable of determining the number of open distribution centers and allocating retailers to these centers. Experiments to evaluate the proposed method's performance are conducted on small to medium-sized problems. Results are compared against those of e-constraint and None Dominated Sorting Genetic Algoritms (NSGA2) (whose parameters are adjusted using the Taguchi method). Final results indicate the superiority of the proposed metaheuristic in comparison to other, competing approaches. | ||
کلیدواژهها | ||
Nonlinear programming؛ dual-objective function؛ Taguchi method؛ meta-heuristic algorithm؛ supply chain | ||
آمار تعداد مشاهده مقاله: 222 تعداد دریافت فایل اصل مقاله: 107 |