【摘要】 文章提出了带模糊需求的同时取送货绿色车辆路径问题，并将碳排放作为优化目标，建立了相应的模糊规划模型。然后给出了解决问题的狼群算法，定义了人工狼的游走行为、召唤行为、围攻行为。最后通过仿真实验，验证了该算法的有效性，并将其与其他算法进行了对比，分析了决策者主观偏好值的变化对目标值的影响。更多还原

【Abstract】 In this paper, a kind of green vehicle routing problem with simultaneous pick-up and delivery is discussed, in which the demands of customers are fuzzy variables, and the cost of carbon emission is considered the optimization objective, then a fuzzy programming model is established. Secondly, the wolf algorithm is proposed to solve this problem, and in this algorithm the wandering behavior of artificial wolves is defined as well as the summoning behavior, and the besieging behavior. Finally, a simulation experiment is conducted, the effectiveness of the algorithm is verified, the algorithm is compared with other algorithms,and the impact of decision-maker’s subjective preference value on the target value is also analyzed.更多还原