The paper deals with parallel variants of optimization algorithms dedicated to solve transportation optimization issues. The problem derives from practice of logistics and vehicle routes planning. We propose parallelization method of the cost function determination dedicated to be executed on GPU architecture. The method can be used in metaheuristic algorithms as well as in exact approaches.
CITATION STYLE
Wodecki, M., Bozejko, W., Jagiełło, S., & Pempera, J. (2015). Parallel cost function determination on GPU for the vehicle routing problem. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 9120, pp. 778–788). Springer Verlag. https://doi.org/10.1007/978-3-319-19369-4_69
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