广州大学学报（自然科学版）
廣州大學學報（自然科學版）
엄주대학학보（자연과학판）
Journal of Guangzhou University (Natural Science Edition)
2015年
4期
42-46
,共5页
混合粒子群算法%钢管混凝土框架%防屈曲支撑%结构优化
混閤粒子群算法%鋼管混凝土框架%防屈麯支撐%結構優化
혼합입자군산법%강관혼응토광가%방굴곡지탱%결구우화
hybrid particle swarm optimization%CFST frame%buckling-restrained brace%structural optimization
通过将粒子群算法（PSO）和遗传算法结合，建立了混合粒子群优化算法，并采用 MATLAB 编写了混合粒子群算法的优化程序，以钢管混凝土减震框架的层间位移角和构件内力为约束条件、各层防屈曲支撑核心单元横截面积总和为目标函数，对地震波作用下的某钢管混凝土减震框架进行了优化分析。优化结果表明：采用混合粒子群算法对地震波作用下的钢管混凝土减震框架进行优化是可行的，与其他优化算法相比，混合粒子群算法具有前期全局搜索能力强，后期局部搜索能力好的特点。
通過將粒子群算法（PSO）和遺傳算法結閤，建立瞭混閤粒子群優化算法，併採用 MATLAB 編寫瞭混閤粒子群算法的優化程序，以鋼管混凝土減震框架的層間位移角和構件內力為約束條件、各層防屈麯支撐覈心單元橫截麵積總和為目標函數，對地震波作用下的某鋼管混凝土減震框架進行瞭優化分析。優化結果錶明：採用混閤粒子群算法對地震波作用下的鋼管混凝土減震框架進行優化是可行的，與其他優化算法相比，混閤粒子群算法具有前期全跼搜索能力彊，後期跼部搜索能力好的特點。
통과장입자군산법（PSO）화유전산법결합，건립료혼합입자군우화산법，병채용 MATLAB 편사료혼합입자군산법적우화정서，이강관혼응토감진광가적층간위이각화구건내력위약속조건、각층방굴곡지탱핵심단원횡절면적총화위목표함수，대지진파작용하적모강관혼응토감진광가진행료우화분석。우화결과표명：채용혼합입자군산법대지진파작용하적강관혼응토감진광가진행우화시가행적，여기타우화산법상비，혼합입자군산법구유전기전국수색능력강，후기국부수색능력호적특점。
In order to improve the performance of particle swarm optimization (PSO),the hybrid PSO (HPSO) was established through the combination of PSO and genetic algorithm (GA).The optimization program of con-crete filled steel tubular (CFST)frame under this hybrid PSO was written by MATLAB.The inter-story drift an-gles of the structure and the moments of the columns were defined as the constraints,and the objective function of the mathematical model was the sum of the cross section area of the core element of all buckling-restrained braces (BRB).The optimized results of a CFST frame with BRBs showed that it is feasible to optimize the CFST frame with BRBs under earthquake wave by HPSO.The HPSO has the advantages of good global search a-bility in the early optimization stage and good local search ability in the latter optimization stage.
