基于复杂网络理论的冷链物流网络建模与仿真分析
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摘要
基于复杂网络理论,分析冷链物流网络的特点,引入节点度和接近度作为择优连接的重要参数,同时考虑边退化的情况,建立改进的无标度网络模型,并对其统计特性进行分析。同时对网络节点实施不同的攻击策略,通过计算网络效率和最大连通比,分析网络的鲁棒性。结果表明:冷链物流网络对随机攻击具有一定的鲁棒性,对蓄意攻击表现脆弱。
Based on the complex network theory, this paper analyzed the characteristics of the cold chain logistics network. After introducing node degree and proximity degree as important parameters in connection optimization and at the same time considering edge degradation, it established an improved scale-free network model and analyzed its statistical characteristics. At the same time, different attack strategies were employed against the nodes of the network, and the robustness of the network was analyzed through calculating the efficiency and maximum connectivity ratio of the network. According to the result, the cold chain logistics network showed certain robustness to random attacks but was vulnerable to deliberate attacks.
Based on the complex network theory, this paper analyzed the characteristics of the cold chain logistics network. After introducing node degree and proximity degree as important parameters in connection optimization and at the same time considering edge degradation, it established an improved scale-free network model and analyzed its statistical characteristics. At the same time, different attack strategies were employed against the nodes of the network, and the robustness of the network was analyzed through calculating the efficiency and maximum connectivity ratio of the network. According to the result, the cold chain logistics network showed certain robustness to random attacks but was vulnerable to deliberate attacks.
引文
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[13]胡钢,张华,徐翔,等.冷链物流网络的无标度特性研究[J].浙江理工大学学报(社会科学版),2017,38(2):127-132.
[2]Barabdsi A L,Albert R,Jeong H.Mean-field theory for scalefree random networks[J].Physica A:Statistical Mechanics and its Applications,1999,272(1-2):173-187.
[3]Li Xiang,Chen Guanrong.A local-world evolving network model[J].Physica A:Statistical Mechanics and its Applications,2003,328(S1-2):274-286.
[4]陈晓,张纪会.复杂供需网络的局域演化生长模型[J].复杂系统与复杂性科学,2008,(1):54-60.
[5]张纪会,徐军芹.适应性供应链的复杂网络模型研究[J].中国管理科学,2009,17,(2):76-79.
[6]曹文彬,熊曦.边效益因素下复杂供应链网络局域演化机制[J].计算机应用研究,2016,33(1):75-81.
[7]张怡,熊杰,冯春.基于复杂网络的供应链网络鲁棒性分析[J].计算机仿真,2012,29(11):370-373.
[8]陈春霞.基于复杂网络的应急物流网络抗毁性研究[J].计算机应用研究,2012,29(4):1 260-1 262.
[9]熊杰,冯春,张怡.基于复杂网络的灾难救援物流网络鲁棒性分析[J].系统仿真学报,2013,25(7):1 639-1 645.
[10]种鹏云,帅斌,尹惠.基于复杂网络的危险品运输网络抗毁性仿真[J].复杂系统与复杂性科学,2014,11(4):10-18.
[11]丁涛,高双,花泽春,等.基于复杂网络的人道物流网络鲁棒性分析[J].物流技术,2016,35(3):82-86.
[12]高义佳.基于复杂网络的冷链物流网络优化与应用研究[D].青岛:中国海洋大学,2009.
[13]胡钢,张华,徐翔,等.冷链物流网络的无标度特性研究[J].浙江理工大学学报(社会科学版),2017,38(2):127-132.