scholarly journals Transportation infrastructure network design in the presence of modal competition: computational complexity classification and a genetic algorithm

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2020 ◽  
Vol 28 (2) ◽  
pp. 442-474
Author(s):  
Federico Perea ◽  
Mozart B. C. Menezes ◽  
Juan A. Mesa ◽  
Fernando Rubio-Del-Rey
2015 ◽  
Vol 33 ◽  
pp. 150-169 ◽  
Author(s):  
Carlos E. Andrade ◽  
Mauricio G.C. Resende ◽  
Weiyi Zhang ◽  
Rakesh K. Sinha ◽  
Kenneth C. Reichmann ◽  
...  

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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