工程结构优化设计的CGA算法研究  

Study on Complex Genetic Algorithms for Optimization Design of Engineering Structures

作　　者：韩圣章[1] 梅传书[2] 

机构地区：[1]天津大学建筑工程学院,天津300072 [2]水利部海河水利委员会,天津300170

出　　处：《应用基础与工程科学学报》2004年第2期197-205,共9页Journal of Basic Science and Engineering

基　　金：国家教育部优秀青年教师基金;国家教育部<高等学校骨干教师资助计划>资助项目

摘　　要：工程结构优化设计是一个复杂的非线性多目标优化问题.针对传统优化方法的局限性,以及遗传算法的缺陷,提出了一种新的智能优化方法复合遗传算法(CGA).对CGA的关键问题进行了阐述,并进行了理论分析,说明了其全局寻优的可能性;对于失效概率的处理问题,采用在计算适应度值的同时,计算出条件值失效概率,再与此限值相比较的方法;最后通过实例验证了本文提出方法的可行性.Optimization design for engineering structures is a nonlinear multi-criteria decision problem. With consideration of limitation of the traditional optimal methods and basic genetic algorithm, a new artificial intelligent optimal method-complex genetic algorithms is established by the way of combining complex shape method and genetic algorithms to solve this problem. The key of the algorithm is presented. Also, theoretical analysis for the more effective optimum seeking mechanism of the algorithm is finished. Failure probability and fitness are calculated simultaneously. Lastly, an example is given, which proves the optimal method presented is feasible.

关 键 词：工程结构 优化设计 CGA算法 遗传算法 失效概率 非线性多目标优化 改进交叉算子 

分 类 号：TB21[一般工业技术—工程设计测绘]