改进遗传算法在桁架优化设计中的应用  

IMPROVED GENETIC ALGORITHM APPLIES TO OPTIMUM TRUSS DESIGN

作　　者：杜保平[1] 王锋娅 

机构地区：[1]西安建筑科技大学土木工程学院,西安710055 [2]陕西川嘉建筑设计有限公司,西安710075

出　　处：《低温建筑技术》2011年第4期66-68,共3页Low Temperature Architecture Technology

摘　　要：利用遗传算法对桁架进行优化时,将ANSYS作为有限元结构分析工具,把遗传算法优化程序与结构的有限元分析程序结合起来,在这两个程序中进行数据传递,能节约结构优化问题的求解时间,提高计算结果的可靠性。文中针对简单遗传算法具有"收敛早熟"、局部搜索能力差等缺点,提出了改进的遗传算法。算例表明此方法正确、可行,能充分发挥ANSYS与遗传算法两者的长处,具有优化效率高、效果好、实用性强等优点。This paper uses ANSYS instead of compiled procedure to optimize truss,to combine genetic algorithm optimization procedure with the structure finite element analysis procedure,making the data transmit between the two procedures.Thus,the combination can save a lot of time and improve the reliability of result.Simple genetic algorithm is characterized by＂ Premature Convergence（PC）＂ and weakness in local search.Considering the disadvantage of GA,this paper proposes to improve genetic algorithm.The result indicates this method,being correct and feasible,can fully display the merits of both ANSYS and the genetic algorithm.All in all,higher efficiency,better result and stronger usability are their merits.

关 键 词：优化设计 ANSYS 改进遗传算法 桁架 

分 类 号：TU311.41[建筑科学—结构工程]