| 李守巨,刘迎曦,冯颖.基于混合遗传算法的动力系统阻尼参数识别方法[J].计算力学学报,2004,21(5):551~556 |
|
| 
码上扫一扫！ |
| 基于混合遗传算法的动力系统阻尼参数识别方法 |
| Identification of the damping coefficients in dynamic system using hybrid genetic algorithm |
| 修订日期：2002-12-24 |
| DOI：10.7511/jslx20045098 |
| 中文关键词: 混合遗传算法 参数识别 阻尼矩阵 精细积分 模拟退火算法 |
| 英文关键词:hybrid genetic algorithm,parameter identification,damping matrix,precise time-integration,simulated annealing algorithm |
| 基金项目:国家自然科学基金(10072014)资助项目. |
| 李守巨 刘迎曦 冯颖 |
| [1]大连理工大学工业装备结构分析国家重点实验室,辽宁大连116024 [2]东北电力学院理学院,吉林吉林132012 |
| 摘要点击次数: 1448 |
| 全文下载次数: 8 |
| 中文摘要: |
| 将动力系统阻尼参数识别反问题转化为非线性优化问题处理，提出了基于遗传算法的动力系统阻尼参数识别方法。为了提高简单遗传算法的计算效率和处理早熟问题，将模拟退火算法与遗传算法相结合，建立了混合遗传算法。数值计算结果表明，本文所建立的方法对于求解参数识别反问题和非线性优化问题是非常有效的，并且具有良好的鲁棒性和全局收敛能力。 |
| 英文摘要: |
| The inverse problem of parameter identification was transformed into a nonlinear optimization problem. An approach to solving inverse problems was presented for the identification of the damping coefficient in the dynamic system using genetic algorithm. Genetic algorithm is a global search technique for parameter optimization and parameter identification. In order to enhance computational efficiency and to deal with the premature problem of simple genetic algorithm, the optimization problem is then solved using a hybrid genetic algorithm. The simulated annealing algorithm and genetic algorithm were combined to produce an adaptive procedure that has the merits of both methods. Results are presented for demonstrating the effectiveness of this approach for solving inverse problem and the characteristics of robustness and global convergence. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
