In the Discounted Generalized Transportation problem (DGT) the cost of transporting a type of product from a source to a destination depends on the amount of transported commodity. Based on this property, in this paper a genetic algorithm is developed to find a high-quality solution of the DGT problem. A numerical example is also presented. The proposed method could be easily integrated into a decision support platform intended to help transport planners to solve problems and make decisions in very limited timeframes.
Genetic algorithms, Discounted Generalized Transportation problem, Optimization
Cristina SERBAN, Doina CARP, "Using Genetic Algorithms to Solve Discounted Generalized Transportation Problem", Studies in Informatics and Control, ISSN 1220-1766, vol. 30(3), pp. 29-38, 2021. https://doi.org/10.24846/v30i3y202103
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