基于混合智能优化算法的弦支穹顶结构预应力优化  

Prestress Optimization of Suspended Dome Structures Based on Mixed Intelligent Optimization Algorithm

作　　者：姜正荣[1,2] 林全攀 石开荣[1,2] 阮智健 吕俊锋[1] 罗斌[3] JIANG Zhengrong;LIN Quanpan;SHI Kairong;RUAN Zhijian;LU Junfeng;LUO Bin(School of Civil Engineering and Transportation,South China University of Technology,Guangzhou 510640,Guangdong,China;State Key Laboratory of Subtropical Building Science,South China University of Technology,Guangzhou 510640,Guangdong,China;School of Civil Engineering,Southeast University,Nanjing 210096,Jiangsu,China)

机构地区：[1]华南理工大学土木与交通学院,广东广州510640 [2]华南理工大学亚热带建筑科学国家重点实验室,广东广州510640 [3]东南大学土木工程学院,江苏南京210096

出　　处：《华南理工大学学报（自然科学版）》2018年第9期36-42,共7页Journal of South China University of Technology(Natural Science Edition)

基　　金：国家自然科学基金资助项目(11673039);广州市科技计划项目(1563000257)~~

摘　　要：模拟植物生长算法(PGSA)是以植物向光性机理(形态素浓度理论)为启发准则的智能优化新算法,具有高效的搜索能力.本研究对PGSA的基本原理进行分析,指出了不同初始生长点的选取会影响该优化算法能否收敛于全局最优解.由此,为提高模拟植物生长算法的全局搜索能力,引入粒子群算法(PSO),提出了新的混合策略(PGSA-PSO混合智能优化算法):先基于粒子群算法的高鲁棒性初选优秀的初始生长点,再基于模拟植物生长算法的高效搜索能力得到最终的全局最优解.算例表明,该混合策略可有效提高模拟植物生长算法的全局搜索能力.最后,利用该混合策略对典型的弦支穹顶结构预应力优化问题进行分析.结果表明,此混合智能优化算法的优化效果显著,在结构优化问题中具有较好的可行性和有效性.Plant growth simulation algorithm(PGSA)is a new intelligent algorithm based on the plant phototropism mechanism--morphactin concentration theory,which has efficient searching ability.This investigation,through the analysis of the basic principle of PGSA,points out that the selection of different initial growth points will affect whether or not PGSA can converge to the global optimal solution.In order to improve the global search ability of PGSA,Particle Swarm Optimization Algorithm(PSO)is taken into consideration.Therefore,a new mixed strategy(the mixed intelligent optimization algorithm of PGSA-PSO)is proposed.The final global optimal solution is to be obtained with the excellent initial growth points being selected first in the light of the high robustness of PSO and then on basis of the efficient search ability of PGSA.A numerical example is given to verify that PGSA-PSO effectively improves the global search ability of PGSA.Furthermore,PGSA-PSO is used to analyze the typical prestress optimization problem of suspended dome structures.The result shows that PGSA-PSO produces a glaring optimization effect.It has good feasibility and effectiveness in solutions to structural optimization problems.

关 键 词：模拟植物生长算法 粒子群算法 混合策略 结构优化 弦支穹顶结构 

分 类 号：TU394[建筑科学—结构工程]