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A hybrid GA-TLBO Algorithm for Optimizing a Capacitated Three-Stage Supply Chain Network

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:

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