改进的蚁群算法及其在桁架结构优化中的应用  

THE IMPROVED ANT COLONY ALGORITHM AND ITS APPLICATION IN THE OPTIMIZATION OF TRUSS STRUCTURE

作　　者：周书敬[1] 韩雪[1] 

机构地区：[1]河北工程大学土木工程学院,河北邯郸056038

出　　处：《钢结构》2013年第3期1-5,共5页Steel Construction

基　　金：河北省自然科学基金项目(E2010402030)

摘　　要：蚁群算法是优化领域中的一种新型模拟进化算法,具有很强的搜索较优解的能力,其缺点是搜索时间长、容易出现停滞现象。引用局部搜索能力较强的模拟退火算法对其改进,使其跳出局部最优,发现更高质量解。并将其成功应用在25杆桁架中,结果表明,基于模拟退火的改进蚁群算法是有效可行的,是解决组合优化问题的有效方法。Ant colony algorithm is a kind of new simulation optimization in evolutionary field and has a strong searching ability to search the optimal solution. However, its shortcomings is the long searching time as well as tending to the phenomenon of stagnation. The paper quotes from the strong local searching ability of simulated annealing algorithm to improve it, making it jump out of local optimal and found solutions with the higher quality. Furthermore,it is successful application in 25 pole space truss, and the results show that simulated annealing ant colony algorithm is practicable and effective to solve the combinatorial optimization problem.

关 键 词：蚁群算法 模拟退火算法 改进 优化 桁架结构 

分 类 号：TU323.4[建筑科学—结构工程]