噪声与振动控制Issue(6)：79-84,6.DOI:10.3969/j.issn.1006-1335.2014.06.018
改进的多岛遗传算法在动力总成悬置系统优化设计中的应用
Application of Improved Multi-island Genetic Algorithm to Powertrain Mounting System Optimization
沈忠亮 1陈剑 1蒋丰鑫1
作者信息
- 1. 合肥工业大学 噪声振动工程研究所，合肥 230009
- 折叠
摘要
Abstract
Aiming at the demerits of Multi-Island Genetic Algorithm (MIGA), the dynamic modulation of crossover and variable probability is employed to overcome the premature phenomenon and improve the searching efficiency of this al-gorithm. Combining with the powerful local searching ability of the simulated annealing algorithm, an improved MIGA with higher efficiency is worked out. Its optimization effect is verified by simulation and experiment. This improved algorithm can be effectively applied in the optimization of powertrain mounting system.关键词
振动与波/多岛遗传算法/动力总成悬置系统/隔振/稳健性Key words
vibration and wave/multi-island genetic algorithm/powertrain mounting system/vibration isolation/ro-bustness分类
数理科学引用本文复制引用
沈忠亮,陈剑,蒋丰鑫..改进的多岛遗传算法在动力总成悬置系统优化设计中的应用[J].噪声与振动控制,2014,(6):79-84,6.
