基于混合遗传模拟退火算法的圆柱螺旋弹簧优化设计  

Optimized Design Based on Combined Genetic Simulated Annealing Algorithm for Cylinder Helix Spring

作　　者：刘昌领[1] 罗晓兰[1] 田红平[2] 赵宏林[1] 段梦兰[1] 

机构地区：[1]中国石油大学(北京)海洋油气研究中心,北京102249 [2]江汉石油钻头股份有限公司,湖北武汉430223

出　　处：《机械与电子》2013年第9期17-20,共4页Machinery & Electronics

基　　金：国家科技重大专项资助项目(k01zs10001)

摘　　要：针对复合形法等传统优化方法在全局搜索能力较弱,容易陷入局部最优解,并且最优解依赖于初始点选择的特点,提出了应用混合遗传模拟退火算法来解决这些问题。建立了某采油树阀门执行机构内部弹簧的优化设计数学模型,应用混合遗传模拟退火算法对其进行了优化设计,并与复合形法、随机方向法、模拟退火算法和遗传算法所计算的结果进行了比较。结果表明,与复合形法相比,经过混合遗传模拟退火算法优化得到的弹簧体积减小了16.01%。The tradition optimized methods such as complex method are lack of the ability of o- verall search,and the results are easily go into the local optimal solutions and they depend on the choice of initial points. An algorithm combined ge- netic simulated annealing algorithm with the conju- gate direction method is put forward. In this arti- cle, the spring inner the valve operating equipment of Christmas tree was analyzed. The optimized model of it was made and which was optimized de- signed by the annealing algorithm combined genetic and simulation. Compared to the results of complex method, random direction method, simulated an- nealing genetic algorithm,the spring＇s volume cal- culated by the annealing algorithm combined ge- netic and simulation is lower 16.01% than that of complex method.

关 键 词：弹簧 优化设计 混合遗传模拟退火算法 模拟退火算法 

分 类 号：TH135[机械工程—机械制造及自动化]