scholarly journals Genetic Algorithm Performance with Different Selection Methods in Solving Multi-Objective Network Design Problem

2013 ◽  
Vol 70 (12) ◽  
pp. 5-9 ◽  
Author(s):  
R. O.Oladele ◽  
J. S. Sadiku
Keyword(s):  
Genetic Algorithm ◽  
Network Design ◽  
Design Problem ◽  
Network Design Problem ◽  
Selection Methods ◽  
Algorithm Performance ◽  
Multi Objective

Solving a Two-stage Supply Chain Network Design Problem with Fixed Costs by a Hybrid Genetic Algorithm

2021 ◽  
Author(s):  
Ovidiu Cosma ◽  
Petrică C Pop ◽  
Cosmin Sabo
Keyword(s):  
Genetic Algorithm ◽  
Supply Chain ◽  
Network Design ◽  
Design Problem ◽  
Optimization Problem ◽  
Hybrid Genetic Algorithm ◽  
Network Design Problem ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Fixed Costs

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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