基于改进海洋捕食者算法的输电塔结构优化

为确保输电塔架线施工时取消临时拉线工况下输电塔架线施工安全,需对其结构进行优化设计。文章建立输电塔结构的计算模型,采用罚函数法确定海洋捕食者算法(marine predators algorithm, MPA)的目标函数;考虑到MPA易陷入局部最优、收敛速度慢的缺点,提出一种融合折射反向学习策略和黄金正弦算法的改进海洋捕食者算法(improved marine predators algorithm, IMPA),并将其在6个基准测试函数数值实验中与其他算法进行比较,结果表明IMPA具有更好的收敛性和求解精度。利用IMPA对输电塔结构在特殊工况下进行优化,结果表明IMPA可以对三维杆系结构进行优化设计,优化后的输电塔具有较好的力学性能。

In order to ensure the safety of the transmission tower line construction under the condition of cancelling the temporary pull line, the structure of the transmission tower line needs to be optimized. This paper establishes a computational model of transmission tower structure, and the penalty function method is used to determine the objective function of the marine predators algorithm (MPA). Then, considering the shortcomings of MPA such as easily falling into local optimum and slow convergence speed, an improved marine predators algorithm (IMPA) that integrates the refracted opposition-based learning (ROBL) strategy and the golden sine algorithm (Gold-SA) is proposed and compared with other algorithms on six benchmark test functions in numerical experiments. The results show that the IMPA has better convergence and solution accuracy. The IMPA is used to optimize the transmission tower structure under special working conditions. The results show that the IMPA can optimize the design of the three-dimensional truss structure, and the optimized transmission tower has good mechanical properties.