| 基于代理模型和遗传算法的仿真优化研究 |
| |
| 引用本文： | 王 凌,吉利军,郑大钟. 基于代理模型和遗传算法的仿真优化研究[J]. 控制与决策, 2004, 19(6): 626-630 |
| |
| 作者姓名： | 王 凌 吉利军 郑大钟 |
| |
| 作者单位： | 清华大学,自动化系,北京,100084;中国科学院,自动化研究所,北京,100080 |
| |
| 基金项目： | 国家自然科学基金资助项目(60204008，60374060)，国家973计划项目(2002CB312200). |
| |
| 摘 要： | 首先由已知样本建立神经网络作为代理模型，替代费时的仿真评价而快速给出近似目标值；然后基于代理模型，采用GA进行决策量寻优．为增强优化结果的可靠性和一致性，讨论了按问题信息选取样本和多模型方法.基于典型压力管设计问题的数值仿真，验证了所提出方法的可行性和有效性，其结果明显优于现有文献结果.
|
| 关 键 词： | 代理模型 神经网络 遗传算法 仿真优化 |
| 文章编号： | 1001-0920(2004)06-0626-05 |
| 修稿时间： | 2003-06-26 |
Simulation optimization based on surrogate model and genetic algorithm |
| |
| WANG Ling,JI Li-jun,ZHENG Da-zhong. Simulation optimization based on surrogate model and genetic algorithm[J]. Control and Decision, 2004, 19(6): 626-630 |
| |
| Authors: | WANG Ling JI Li-jun ZHENG Da-zhong |
| |
| Affiliation: | WANG Ling~1,JI Li-jun~2,ZHENG Da-zhong~1 |
| |
| Abstract: | A neural network is established based on available samples which is taken as surrogate model to provide approximate objective value by replacing time-consuming simulation evaluation. Based on surrogate model, GA is applied to search optimal solution. Moreover, samples choosing according to problem information and multiple-(model) methods are discussed to enhance the reliability and consistence of optimization results. Numerical simulation based on typical pressure vessel design problem demonstrates the feasibility and effectiveness of the proposed method. |
| |
| Keywords: | surrogate model neural network genetic algorithm simulation optimization |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《控制与决策》浏览原始摘要信息 |
|
点击此处可从《控制与决策》下载全文 |
