摘要
为提高现有减震结构阻尼器优化布置计算效率和性能,提出了一种差分进化和人工电场混合算法。该算法采用Tent混沌映射初始化改善种群分布质量和多样性,引入变异交叉选择机制维持种群中优势个体的进化避免趋于局部最优。通过测试函数算例和混凝土框架结构的阻尼器优化布置算例,对比各优化算法的寻优计算性能及收敛速度。研究结果表明:差分进化和人工电场混合算法具有较好的全局寻优能力,收敛速度快,优化后结构减震性能好。
To improve the computational efficiency and performance of the existing algorithms of arrangement optimization of dampers in energy dissipation structures,a hybrid algorithm of differential evolution and artificial electric field was proposed.This algorithm utilizes Tent chaotic mapping initialization to improve the quality and diversity of population distribution,and introduces a mutation cross selection mechanism to maintain the evolution of dominant individuals in the population and avoid approaching local optimum.Through a test function example and an arrangement optimization example of dampers of concrete frame structure,the optimization performance and convergence speed of various optimization algorithms were compared.The research results indicate that the hybrid algorithm of differential evolution and artificial electric field has good global optimization ability,fast convergence speed,and the optimized structure has good seismic damping performance.
作者
阎奇武
邹忠亮
YAN Qi-wu;ZOU Zhong-liang(School of Civil Engineering,Central South University,Changsha 410083,China;Architectural Design Institute 1,Guangzhou Urban Planning and Design Survey Research Institute,Guangzhou 510060,China)
出处
《吉林大学学报(工学版)》
EI
CAS
CSCD
北大核心
2024年第8期2267-2274,共8页
Journal of Jilin University:Engineering and Technology Edition
基金
国家自然科学基金项目(51978662).
关键词
结构工程
差分进化算法
人工电场算法
混合算法
减震结构
阻尼器优化布置
structural engineering
differential evolution algorithm
artificial electric field algorithm
hybrid algorithm
energy dissipation structures
damper optimal layout