摘要
介绍并发展了一种基于非连续设计变量的结构优化设计方法─—遗传算法。它把结构优化问题模拟为生物进化问题。通过判断每一代中个体的优化程度进行优胜劣汰，从而产生下一代个体，如此反复迭代来完成优化设计。本文给出了遗传算法的详细计算过程，并提出了三种加快收敛的改进方法。最后为验证此方法的强大功能，作者给出了十二杆平面桁架和二十五杆空间桁架结构优化设计的两个算例。
in the paper, a simple genetic algorithm(GA)is presented for optimizing structural systems withdiscrete design variables. This method simulates the problems of structural optimization with the creatureevolution. By analyzing the fitness of individuals, this method can remove the less fit individuals and copy themost fit ones to generate next generation. As well as the details of the procedure, three intellectual methodsused to improve the speed of convergence are suggested. To prove the great validity of GA, two problems(12 -- birplane truss and 25 -- bar space miss)are presented and solved.
出处
《哈尔滨建筑大学学报》
EI
1999年第4期18-23,共6页
Journal of Harbin University of Civil Engineering and Architecture
