应用加速基因算法预测港口集装箱吞吐量  

Application of Accelerating Genetic Algorithm to Prediction of Container Throughput

作　　者：郑金海[1] 金菊良[2] 

机构地区：[1]河海大学港口航道及海岸工程学院,南京210098 [2]四川联合大学水利系,成都610065

出　　处：《中国港湾建设》2000年第3期33-34,共2页China Harbour Engineering

摘　　要：本文首先简述加速基因算法的基本思路 ,然后应用加速基因算法对上海港集装箱吞吐量进行预测 ,并与基于神经网络、灰色理论的预测成果比较。结果表明 ,加速基因算法直观简单 ,预测精度高 ,是解决港口集装箱吞吐量等非线性系统预测问题的有效途径。The accelerating genetic algorithm is briefly reviewed,and then it is employed to predict the container throughput of Shanghai Harbor.The results are compared with those based on the neural network technique and from the grey model,respectively.Comparisons show that the accelerating genetic algorithm is a simple method with high precision and an effective way to predict the container throughput.The achievements could offer a basis for planning and construction of container terminals.

关 键 词：加速基因算法 集装箱吞吐量 预测 港口 

分 类 号：U691.71[交通运输工程—港口、海岸及近海工程]