Development of a reliable and flexible supply chain network design model: a genetic algorithm based approach

Author(s):  
C. R. Vishnu ◽  
Sangeeth P. Das ◽  
R. Sridharan ◽  
P. N. Ram Kumar ◽  
N. S. Narahari
2013 ◽  
Author(s):  
Z. Firoozi ◽  
N. Ismail ◽  
S. H. Ariafar ◽  
S. H. Tang ◽  
M. K. M. A. Ariffin

2021 ◽  
Author(s):  
Ovidiu Cosma ◽  
Petrică C Pop ◽  
Cosmin Sabo

Abstract In this paper we investigate a particular two-stage supply chain network design problem with fixed costs. In order to solve this complex optimization problem, we propose an efficient hybrid algorithm, which was obtained by incorporating a linear programming optimization problem within the framework of a genetic algorithm. In addition, we integrated within our proposed algorithm a powerful local search procedure able to perform a fine tuning of the global search. We evaluate our proposed solution approach on a set of large size instances. The achieved computational results prove the efficiency of our hybrid genetic algorithm in providing high-quality solutions within reasonable running-times and its superiority against other existing methods from the literature.


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