基于一种改进海鸥算法的结构优化设计

Structural Optimization Design Based on an Improved Seagull Optimization Algorithm

结构优化设计是用目标函数和约束函数来描述结构设计参数之间的非线性关系,通过优化技术求最优解。海鸥优化算法是一种新颖的全局优化算法。文章采用非线性随机惯性权重和局部混沌扰动策略改进,提高全局搜索精度和跳出局部陷阱的能力。仿真结果表明,改进的海鸥算法ISOA(Improved Seagull Optimization Algorithm)可用于求解多维连续优化问题,其收敛速度快,且计算精度更高,可为工程结构的优化设计提供参考。

Structural optimization design uses objective function and constraint function to describe the nonlinear relationship between structural design parameters,and obtains the optimal solution through optimization technology.Seagull optimization algorithm is a novel global optimization algorithm.Nonlinear random inertia weight and the promotion of local chaotic disturbance strategy are used in this paper to increase the global search accuracy and the ability to jump out of local traps.The simulation results show that the improved Seagull algorithm(ISOA)can be used to solve multi-dimensional continuous optimization problems with fast convergence speed and higher calculation accuracy,which can provide a reference for the optimization design of engineering structures.