A Two-Stage Iterative Solution Approach for Solving a Container Transportation Problem

Author(s):  
Mengqi Wang ◽  
Bingjie Liu ◽  
Jiewei Quan ◽  
Julia Funke
2019 ◽  
Vol 35 (2) ◽  
pp. 153-164 ◽  
Author(s):  
OVIDIU COSMA ◽  
PETRICA C. POP ◽  
CORINA POP SITAR ◽  
◽  
◽  
...  

This paper concerns the two-stage transportation problem with fixed charges associated to the routes and proposes an efficient multi-start Iterated Local Search (ILS) procedure for the total distribution costs minimization. Our heuristic approach constructs an initial solution, uses a local search procedure to increase the exploration, a perturbation mechanism and a neighborhood operator in order to diversify the search. Computational experiments were performed on two sets of instances: one that consists of 20 benchmark instances available in the literature and a second one that contains 10 new randomly generated larger instances. The achieved computational results prove that our proposed solution approach is highly competitive in comparison with the existing approaches from the literature.


2016 ◽  
Vol 32 (2) ◽  
pp. 225-232
Author(s):  
PETRICA POP ◽  
◽  
OLIVIU MATEI ◽  
CORINA POP SITAR ◽  
IOANA ZELINA ◽  
...  

This paper is focusing on an important transportation application encountered in supply chains, namely the capacitated two-stage fixed-charge transportation problem. For solving this complex optimization problem we described a novel hybrid heuristic approach obtained by combining a genetic algorithm based on a hash table coding of the individuals with a powerful local search procedure. The proposed algorithm was implemented and tested on an often used collection of benchmark instances and the computational results obtained showed that our proposed hybrid heuristic algorithm delivered competitive results compared to the state-of-the-art algorithms for solving the considered capacitated two-stage fixed-charge transportation problem.


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