基于融合算法的桥梁传感器测点布设优化

摘要

The improved multiswarm particle swarm optimization and shuffled frog leaping algorithm is applied to the sensor arrangement for cable-stayed bridge,and it is compared with other three optimal sensor arranging approaches.Firstly,calculation steps of improved multiswarm particle swarm optimization and shuffled frog leaping algorithm are introduced in detail,and the determination of some parameters are introduced.Second-ly,the algorithm is applied to a recently built cable-stayed bridge as well as other three algorithm,the detailed arrangements of 15 sensors with different algorithm are provided.Later,the operation efficiency of the algo-rithm is analyzed and four algorithms are evaluated with different estimating criteria.The results verify the im-proved multiswarm particle swarm optimization and shuffled frog leaping algorithm is applicable in the sensors arrangement for cable-stayed bridge.%在大跨径斜拉桥传感器测点优化布置中,应用改进的粒子群和蛙跳算法的融合算法,并与其他3种算法对比,结果表明融合算法可用于斜拉桥的传感器测点布设优化.首先对融合算法的计算方法与步骤进行详细介绍,并说明相关参数的选取,然后以一座斜拉桥为工程背景,分别用有效独立法、遗传算法、猴群算法和融合算法对斜拉桥的测点布设进行计算,分析本算法的运行效率,并依据不同评估准则对4种算法的计算结果进行对比.结果验证了融合算法在斜拉桥传感器测点布置优化中的可行性.