A hybrid GA-TLBO Algorithm for Optimizing a Capacitated Three-Stage Supply Chain Network
سال انتشار: 1396
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 617
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شناسه ملی سند علمی:
JR_IJIEPR-28-2_004
تاریخ نمایه سازی: 20 آبان 1397
چکیده مقاله:
A teaching-learning-based optimization (TLBO) algorithm is a new population-based algorithm applied to some applications in the literature successfully. In this paper, a hybrid genetic algorithm (GA)-TLBO algorithm is proposed for the capacitated three-stage supply chain network design (SCND) problem. To escape infeasible solutions emerged in the problem of interest due to realistic constraints, a combination of a random key and priority-base encoding scheme is proposed. To assess the quality of the proposed hybrid GA-TLBO algorithm, some numerical examples are conducted. Then, the results are compared with those of GA, TLBO and exact algorithms.
کلیدواژه ها:
Supply chain network design ، Teaching-learning-based optimization ، Genetic algorithm ، Priority-base encoding
نویسندگان
Reza Babazadeh
Department of Industrial Engineering, Faculty of Engineering, Urmia University
Reza Tavakkoli-Moghaddam
School of Industrial Engineering, College of Engineering, University of Tehran