摘要
为了提高港口集装箱装载的效率,以最大化集装箱空间利用率为目标建立了集装箱装载优化模型,基于MATLAB利用改进蚁群算法进行了优化求解,结果显示,空间利用率提高了9.13%.证明了改进蚁群算法在集装箱装载问题上提高了空间利用率,可以容纳更多的货物,降低了装载成本.
In order to improve the efficiency of container loading in ports, an optimization model of container loading was established with the objective of maximizing the space utilization of containers. The optimization solution was carried out by using the improved ant colony algorithm based on MATLAB. The results showed that the space utilization increased by 9.13%.It is proved that the improved ant colony algorithm can improve the space utilization, accommodate more cargo and reduce the loading cost.
作者
张洪军
邢红光
ZHANG Hong-jun;XING Hong-guang(School of Mechatronic Engineering,Lingnan Normal Universtity,Guangdong Zhanjiang 524048,China;College of Mechanical and Electrical Engineering,Qiqihar University,Heilongjiang Qiqihar 161006,China)
出处
《齐齐哈尔大学学报（自然科学版）》
2020年第1期34-38,共5页
Journal of Qiqihar University(Natural Science Edition)
基金
湛江市科技发展专项资金竞争性分配项目(2018A02016)
齐齐哈尔市科学技术计划项目(NYGG-201702)
2019岭南师范学院校级教育教学改革项目(LSJGYB1938)。
关键词
港口物流
蚁群算法
集装箱装载
最优化
port logistics
ant colony algorithm
container loading
optimization
