基于模拟退火复合形优化算法的弹性悬架设计

摘要

As global properties of the traditional optimization algorithm is weak, the local solution of it appears easily ; as well as the simulated annealing algorithm' s cooling rate is slower, the local searching ability is insufficient. Use the simulated annealing compound method that is combined of the simulated annealing algorithm and compound method. Research the optimization design of elastic suspension with the genetic compound method and compare with the traditional optimization methods. The results show that the algorithm is correct and effective in solving multi variable and constraint optimization problem of elastic suspension.%针对传统优化算法全局性较弱,容易陷入局部解的问题；以及模拟退火算法的降温速率较慢和局部搜索能力不足.采用将模拟退火算法和复合形相结合的模拟退火复合形算法.在此基础上对弹性悬架优化设计进行了研究；并且与传统优化方法进行了比较.结果表明,该算法在求解弹性悬架多变量、多约束优化问题的有效性和正确性.