摘要
针对传统优化算法全局性较弱,容易陷入局部解,以及遗传算法的局部速率较慢和局部搜索能力不足等问题,采用将遗传算法和复合形算法相结合的遗传复合形算法。在此基础上对拖拉机弹性悬架结构进行了优化设计研究,并且与传统优化方法进行了比较。结果表明,对同样初始条件的拖拉机弹性悬架进行结构设计时,采用遗传复合形算法比采用传统算法可以使得拖拉机弹性悬架钢板弹簧的体积减小2.6%,因此遗传复合形算法在求解弹性悬架多变量、多约束优化问题的时候是有效的和正确的。
According to the global property of traditional optimization algorithm was weak,easily fall into local solutions,as well as local rate slow and lack of local search of genetic algorithm.Tractor elastic suspension was optimizated designed by using genetic compound algorithm method which combined the genetic algorithm and compound method,and it was compared with the traditional optimization methods.The results showed that the size of the tractor elastic suspension leaf spring reduced 2.6% when using the genetic complex algorithm rather than traditional algorithm under the same initial conditions.The algorithm is correct and effective in solving multivariable and constraint optimization problem of elastic suspension.
出处
《湖北农业科学》
北大核心
2012年第17期3859-3861,共3页
Hubei Agricultural Sciences
基金
河南省自然科学基金项目(041105130)
关键词
优化设计
弹性悬架
遗传复合形算法
复合形法
拖拉机
optimizated design
elastic suspension
genetic complex algorithm method
complex method
tractor
