Abstract
In the urban logistics distribution, reasonable distribution of distribution routes can effectively improve the efficiency of distribution, reduce the cost of distribution and carbon emissions. In actual distribution, vehicle load, speed, distance and traffic condition have important influence on distribution cost, fuel consumption and carbon emissions. Therefore, according to different road conditions, a speed characteristic model is first established. Finally, motivated by simulated annealing thinking, an improved adaptive genetic algorithm is proposed.
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Wang, H., Jin, S., Tian, D., Zhang, J., Li, G. (2019). Heterogeneous Fleet Vehicle Routing Optimization with Consideration of Carbon Emission. In: Sugumaran, V., Xu, Z., P., S., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2019. Advances in Intelligent Systems and Computing, vol 929. Springer, Cham. https://doi.org/10.1007/978-3-030-15740-1_153
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DOI: https://doi.org/10.1007/978-3-030-15740-1_153
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Online ISBN: 978-3-030-15740-1
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