A Green Vehicle Routing Optimization Model with Adaptive Vehicle Speed Under Soft Time Window

摘要

In order to reduce distribution costs and carbon emissions in logistics distribution process, this paper studies the green vehicle routing optimization problem, which considers the impact of speed on distribution costs and carbon emissions. A green vehicle routing optimization model with adaptive vehicle speed under soft time window (GVRP-AS). The model takes the minimum costs as the objective function and is solved by the cycle evolutionary genetic algorithm (CEGA). The research results show that GVRP-AS model can significantly reduce the total costs and carbon emissions, achieving good economic and environmental benefits.