摘要
湾区内港口密集、水网纵横,对泊位进行综合调度,可以增强整体运输网络的高效性与可靠性。为了提高湾区运输网络的整体效率及可靠性,针对湾区多港口泊位调度问题,构建了考虑网络强度及运输效率的组合优化模型,设计了具备约束适应能力的改进遗传算法。仿真实验表明,该模型可以对网络脆弱性与耗时成本进行综合权衡,在湾区内单一港口遭遇突发情况无法继续工作时能较好地保持网络性能,具有强容灾能力与强鲁棒性。
According to intensive ports and dense seaways of the bay area,comprehensive berth scheduling can efficiently increase the efficiency and reliability of the entire transportation network.In order to improve the overall efficiency and reliability of the bay area transportation network,this paper constructs a combined optimization model considering the network strength and transportation efficiency for the multi-port berth scheduling problemin the Bay Area,and designs an improved genetic algorithm with constraint adaptability.The simulation results show that the model can balance the network vulnerability and time-consuming cost.When a single port in the bay area is unable to continue to work in case of emergency,it can stably maintain the performance of the network.And it has strong disaster tolerance ability and strong robustness.
作者
朱益辉
贺红燕
李彦苍
Zhu Yihui;He Hongyan;Li Yancang(School of Information Engineering,Chang’an University,Xi’an 710000,Shaanxi,China;Hebei Professional College of Political Science and Law,Shijiazhuang 050000,Hebei,China;School of Water Conservancy and Hydroelectric Power,Hebei University of Engineering,Handan 056002,Hebei,China)
出处
《计算机应用与软件》
北大核心
2020年第8期68-73,共6页
Computer Applications and Software
基金
河北省教育科学研究“十三五”规划2019年度课题(1903135)。
关键词
海上运输
泊位调度问题
网络脆弱性
遗传算法
Marine transportation
Berths scheduling
Network vulnerability
Genetic algorithm
