| 基于粒子群优化和协同优化的多学科设计优化研究 |
| |
| 引用本文： | 陈亚洲,高亮,周驰. 基于粒子群优化和协同优化的多学科设计优化研究[J]. 机械科学与技术, 2007, 26(4): 424-427 |
| |
| 作者姓名： | 陈亚洲 高亮 周驰 |
| |
| 作者单位： | 华中科技大学,机械学院,武汉,430074;华中科技大学,机械学院,武汉,430074;华中科技大学,机械学院,武汉,430074 |
| |
| 基金项目： | 国家重点基础研究发展计划(973计划) |
| |
| 摘 要： | 协同优化是进行多学科设计优化的有效方法之一。本文将粒子群优化算法应用于协同优化,通过对系统级优化等式约束条件进行转换,克服了协同优化自身内部的计算缺陷,有效解决了当原始系统优化问题不满足Kuhn-Tucker条件时导致的计算困难,最后以数值计算和减速器设计为例进行了验证。结果表明本文提出的方法是有效的,同时也为将新型算法应用于多学科设计优化问题提供了参考。
|
| 关 键 词： | 多学科优化 协同优化 粒子群优化算法 |
| 文章编号： | 1003-8728（2007）04-0424-04 |
| 修稿时间： | 2006-04-27 |
Research on Multidisciplinary Design Optimization Based on Particle Swarm Optimization and Collaborative Optimization |
| |
| Chen Yazhou,Gao Liang,Zhou Chi. Research on Multidisciplinary Design Optimization Based on Particle Swarm Optimization and Collaborative Optimization[J]. Mechanical Science and Technology for Aerospace Engineering, 2007, 26(4): 424-427 |
| |
| Authors: | Chen Yazhou Gao Liang Zhou Chi |
| |
| Affiliation: | Huazhong University of Science and Technology, Wuhan 430074 |
| |
| Abstract: | Collaborative optimization(CO) is an effective method of multidisciplinary design optimization(MDO),to which the particle swarm optimization(PSO) algorithm is applied.Through the transformation of the constraint conditions of the system-level optimization equation,calculation defects inherently existing in collaborative optimization are overcome,effectively solving the calculation difficulties caused when the original system optimization does not satisfy the Kuhn-Tucker conditions.Finally the CO is verified using numerical calculation and decelerator design as two examples.The verification results show that the proposed method is effective and applicable to MDO. |
| |
| Keywords: | multidisciplinary design optimization(MDO) collaborative optimization(CO) particle swarm optimization(PSO) algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
