摘要
路径优化问题是第四方物流成败的关键因素之一,笔者尝试使用蚁群算法来解决第四方物流的路径问题。首先选择了适用于4PL的离散域蚁群算法,在分析4PL问题的基础上,创建了其数学模型,并利用实例进行了验证。实验表明,选择合适的参数能较为高效、可靠地解决4PL的路径优化问题。
Path optimization is one of the key factors for the success of the fourth party logistics. This paper attempts to use the ant colony algorithm to solve the path selection problem of 4PL by proposing the discrete domain ant colony algorithm first and then creating a mathematical model based on the analysis of the problem of 4PL and finally verifying it through experiments. Experiments show that the problem could be solved successfully by optimizing the parameters.
出处
《宁波工程学院学报》
2016年第4期26-30,84,共6页
Journal of Ningbo University of Technology
基金
全国教育信息技术研究课题(136241031)
浙江省现代远程教育学会课题(DES-14Y24)
宁波市2014年教育科学规划研究课题(YGH068)
关键词
第四方物流
蚁群算法
离散域蚁群算法
信息素
迭代次数
fourth party logistics, ant colony algorithm, discrete domain ant colony algorithm, pheromone, iteration number