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基于混合遗传模拟退火算法的离合器蝶形压紧弹簧优化设计
引用本文:黄伟华.基于混合遗传模拟退火算法的离合器蝶形压紧弹簧优化设计[J].机械强度,2009,31(4).
作者姓名:黄伟华
作者单位:河南农业大学,机电工程学院,郑州,450002
基金项目:河南省科技厅科技攻关项目资助  
摘    要:针对遗传模拟退火算法的局部搜索能力不足,并且可能早熟和遗失最好解;以及传统优化算法全局性较弱,容易陷入局部解的问题.提出一种将遗传模拟退火算法和共轭方向法相结合的混合遗传模拟退火算法.在此基础上对离合器蝶形压紧弹簧优化设计进行研究,并与传统优化方法进行比较,结果表明,该方法简单可行,可为蝶形压紧弹簧以及其他产品的设计提供一种新方法.

关 键 词:优化设计  蝶形弹簧  混合遗传模拟退火算法  共轭方向法

OPTIMIZED DESIGN BASED ON COMBINED GENETIC SIMULATED ANNEALING ALGORITHM FOR BUTTERFLY STYLE PRESSED SPRING IN CLUTCH
HUANG WeiHua.OPTIMIZED DESIGN BASED ON COMBINED GENETIC SIMULATED ANNEALING ALGORITHM FOR BUTTERFLY STYLE PRESSED SPRING IN CLUTCH[J].Journal of Mechanical Strength,2009,31(4).
Authors:HUANG WeiHua
Affiliation:School of Mechanical and Electronical Engineering;Henan Agricultural University;Zhengzhou 450002;China
Abstract:The genetic simulated annealing algorithm is lack of the ability of local search, so it may be premature and loss the best solution for issues. As well as the overall character of traditional optimization algorithm is weak so that it may lead to local solutions. Another algorithm, which combine genetic simulated annealing algorithm with the method of conjugate direction, is used to solve the problem in optimization design for butterfly style pressed spring in clutch. Compared with the traditional optimizati...
Keywords:Optimization design  Butterfly style spring  Annealing algorithm combined genetic and simulation  Conjugate direction method  
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