A hybrid GA-TLBO Algorithm for Optimizing a Capacitated Three-Stage Supply Chain Network
Publish place: International Journal of Industrial Engineering & Production Research، Vol: 28، Issue: 2
Publish Year: 1396
Type: Journal paper
Language: English
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JR_IJIEPR-28-2_004
Index date: 11 November 2018
A hybrid GA-TLBO Algorithm for Optimizing a Capacitated Three-Stage Supply Chain Network abstract
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.
A hybrid GA-TLBO Algorithm for Optimizing a Capacitated Three-Stage Supply Chain Network Keywords:
Supply chain network design , Teaching-learning-based optimization , Genetic algorithm , Priority-base encoding
A hybrid GA-TLBO Algorithm for Optimizing a Capacitated Three-Stage Supply Chain Network authors
Reza Babazadeh
Department of Industrial Engineering, Faculty of Engineering, Urmia University
Reza Tavakkoli-Moghaddam
School of Industrial Engineering, College of Engineering, University of Tehran