Geodesic
A Genetic Algorithm for the Routing and Carrier Selection Problem
Computer Science and Information Systems, Tome 9 (2012) no. 1.

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In this paper we present new evolutionary approach for solving the Routing and Carrier Selection Problem (RCSP). New encoding scheme is implemented with appropriate objective function. This approach in most cases keeps the feasibility of individuals by using speci£c representation and modified genetic operators. The numerical experiments were carried out on the standard data sets known from the literature and results were successful comparing to two other recent heuristic for solving RCSP.
Keywords: vehicle routing problems, genetic algorithm, evolutionary computation, combinatorial optimization 
@article{CSIS_2012_9_1_a3,
     author = {Jozef Kratica and Tijana Kosti\'c and Du\v{s}an To\v{s}i\'c and Djordje Dugo\v{s}ija and Vladimir Filipovi\'c},
     title = {A {Genetic} {Algorithm} for the {Routing} and {Carrier} {Selection} {Problem}},
     journal = {Computer Science and Information Systems},
     publisher = {mathdoc},
     volume = {9},
     number = {1},
     year = {2012},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2012_9_1_a3/}
}
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Jozef Kratica; Tijana Kostić; Dušan Tošić; Djordje Dugošija; Vladimir Filipović. A Genetic Algorithm for the Routing and Carrier Selection Problem. Computer Science and Information Systems, Tome 9 (2012) no. 1. http://geodesic.mathdoc.fr/item/CSIS_2012_9_1_a3/