Abstract
In recent years, modern logistics industry is a rapidly emerging industry, a new economic growth point, transportation is an important element of modern logistics, it can reduce transportation costs, and improve economic efficiency if the arrangements of transport vehicles are reasonable. Vehicle routing problem is a class of typical combinatorial optimization problems and is known for its physical transportation vehicle scheduling, which is proved to be a NP-Hard problem. in this paper, to improve the traditional genetic algorithm, and prevent the new individual of invalid solutions by crossing, it proposed a new method of cross-parents, making the solution process is always carried out in the effective solution set, eventually achieve the optimal route of transport vehicles.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Xiao, J., Lu, B. (2012). Application of Improved Genetic Algorithm in Logistics Transportation. In: Jin, D., Lin, S. (eds) Advances in Computer Science and Information Engineering. Advances in Intelligent and Soft Computing, vol 168. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30126-1_49
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DOI: https://doi.org/10.1007/978-3-642-30126-1_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30125-4
Online ISBN: 978-3-642-30126-1
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