采用混合遗传算法的建筑结构优化设计  

Optimal design of building structures using hybrid genetic algorithm

作　　者：张延年[1] 朱朝艳[2] 董锦坤[2] 李艺[3] 范鹤[3] 

机构地区：[1]沈阳建筑大学土木工程学院,辽宁沈阳110015 [2]辽宁工学院土木建筑系,辽宁锦州121001 [3]东北大学资源与土木工程学院,辽宁沈阳110004

出　　处：《辽宁工程技术大学学报（自然科学版）》2006年第5期708-710,共3页Journal of Liaoning Technical University (Natural Science)

基　　金：国家自然科学基金资助项目(50508008);建设部研究开发项目(06-k1-22);辽宁省教育厅高等学校科研项目(2005343)

摘　　要：根据工程实际,充分考虑规范规定的约束条件和各项技术标准要求,建立了建筑结构优化模型。并提出一种离散变量结构优化设计的进退搜索算法与标准遗传算法结合成混合遗传算法,既发挥了进退搜索算法高效、局部搜索能力强的特点,又发挥了遗传算法全局性好的特点。算例结果表明,这种混合遗传算法收敛快、精度高,优于标准遗传算法和进退搜索算法;是兼二者之长,弃二者之短的高效的理想优化方法,可以直接用于多种建筑结构的优化设计。On the basis of the practical structure design of engineering, the constraint conditions that the norm stipulates and the demands of various engineering standards were sufficiently considered, and a model of structural optimization with discrete variables was derived. Moreover a hybrid genetic algorithm （HGA） composed of the forward-and-back searching algorithm （FBSA） for structural optimization with discrete variables and the standard genetic algorithm （SGA） is proposed in the paper, taking their advantages of powerfully local searching capability of FBSA, as well as the global searching capability of genetic algorithm （GA）. The results by exemplification show that HGA, as an efficient optimal method having the advantages of both SGA and FBSA without their disadvantages, is superior to either one. It can be applied to optimal design of various engineering structures.

关 键 词：全局最优 离散变量 结构优化 遗传算法 混合遗传算法 

分 类 号：TU311.4[建筑科学—结构工程]