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| A multi-disciplinary robust optimization method based on bi-level integrated system synthetic method |
| Received:October 23, 2008 |
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| DOI：10.7511/jslx20105026 |
| KeyWord:multi-disciplinary design optimization robust design bi-level integrated system synthetic method |
| Author | Institution |
| 陶友瑞 |
湖南大学 汽车车身先进设计制造国家重点实验室, 长沙 ;湖南工程学院 机械工程系, 湘潭 |
| 韩旭 |
湖南大学 汽车车身先进设计制造国家重点实验室, 长沙 |
| 姜潮 |
湖南大学 汽车车身先进设计制造国家重点实验室, 长沙 |
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| Abstract: |
| A multi-disciplinary robust design optimization method is suggested to solve the optimization problem of multi-disciplinary design with uncertainty in con-straints. Uncertain variables are assumed as interval model and genetic algorithm is employed to solve the maximum value of constraint interval. The value of con-straints can be obtained after possibility degree level is predetermined. Bi-level integrated system synthetic method is used as multi-disciplinary optimization solver. Numerical example is investigated to demonstrate the efficiency of the method. The method can offer the necessary theoretical basis for multi-disciplinary uncertain design optimization. |