Reverse logistics network design using simulated annealing

2009 ◽  
Vol 47 (1-4) ◽  
pp. 269-281 ◽  
Author(s):  
Mir Saman Pishvaee ◽  
Kamran Kianfar ◽  
Behrooz Karimi
Author(s):  
Gülfem Tuzkaya ◽  
Bahadir Gülsün ◽  
Ender Bildik

Reverse logistics network design (RLND) effectiveness has an important impact on the effectiveness of the whole supply network coordination. Considering that, in this study, the RLND problem is investigated and a hybrid genetic algorithms and simulated annealing (HGASA) methodology is proposed. This problem is applied to a preceding study which utilized genetic algorithms (GA) for the optimization. HGASA and GA results are tested with Wilcoxon rank-sum test for hundred runs and the results prove the difference between two approaches. Additionally, the averages and the standard deviations support that, the HGASA algorithm increases the probability of obtaining better solutions.


2018 ◽  
Vol 54 ◽  
pp. 311-331 ◽  
Author(s):  
Sajan T John ◽  
R Sridharan ◽  
P N Ram Kumar ◽  
M. Krishnamoorthy

2020 ◽  
Vol 139 ◽  
pp. 106184 ◽  
Author(s):  
K. Nageswara Reddy ◽  
Akhilesh Kumar ◽  
Joseph Sarkis ◽  
Manoj Kumar Tiwari

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