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CPU-GPU solution for bus-based freight scheduling under uncertainty
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DOI：10.1016/j.tre.2025.104508.png)
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Abstract
En 中文
• A CPU-GPU heterogeneous architecture is proposed for algorithmic implementation. • A two-stage stochastic programming model is formulated for bus-based freight scheduling. • A GPU-accelerated adaptive large neighborhood search is embedded in the algorithm. • The CPU-GPU architecture reduces computation time from hours to minutes or even seconds. • Sensitivity analyses are conducted to provide insights for designing robust freight scheduling plans.
Keywords:
Bus-based freight transportation
CPU-GPU heterogeneous architecture
GPU acceleration
Stochastic programming
Metaheuristic algorithm
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