关键词: 低碳物流, 车辆路径问题（VRP）, 蚁群算法, 模拟退火算法, 混沌扰动

Abstract: Low carbon logistics is a hot research subjects of logistics routing problem currently and an important application direction of swarm intelligence optimization algorithm. Concerning the method to measure the carbon emissions in logistics distribution, a low carbon logistics routing optimization model is established, which aimed at the less cost of carbon emissions and based on Vehicle Routing Problem（VRP）. To avoid stagnation and premature phenomenon, the simulated annealing ant colony algorithm with chaotic disturbance is proposed to solve the low carbon logistics routing optimization model. The chaotic system and the simulated annealing method are introduced to the ant colony algorithm, which increases the global searching ability and improves the solving efficiency. Simulation and comparison results show that the simulated annealing ant colony algorithm with chaotic disturbance gets a more satisfactory optimization result compared with ant colony algorithm, so this algorithm is effective and reasonable.

Key words: low carbon logistics, Vehicle Routing Problem（VRP）, ant colony algorithm, simulated annealing algorithm, chaotic disturbance