{"title":"多学科混合层次优化方法研究","authors":"Zhanjun Cai","doi":"10.1109/CCIENG.2011.6008014","DOIUrl":null,"url":null,"abstract":"This paper studies Multidisciplinary Hybrid Hierarchic Design Optimization (MHHDO) method for the hybrid hierarchic system. The collaborative model of the hybrid hierarchic system which contains hierarchic and non hierarchic system is established for the analysis of the system. In order to eliminate the difference of the sharing design variable and the state variable in MDO, the collaborative rule of them has been established. The collaborative rule of the function is given for the consistency of the sharing design variable and the state design variable. The MHHDO method which based on collaborative rule of the sharing design variable, the state design variable and the function can eliminated the difference of them, it can eventually obtain the optimal solution of the allover system.","PeriodicalId":6316,"journal":{"name":"2011 IEEE 2nd International Conference on Computing, Control and Industrial Engineering","volume":"25 1","pages":"286-289"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on multidisciplinary hybrid hierarchic optimization method\",\"authors\":\"Zhanjun Cai\",\"doi\":\"10.1109/CCIENG.2011.6008014\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper studies Multidisciplinary Hybrid Hierarchic Design Optimization (MHHDO) method for the hybrid hierarchic system. The collaborative model of the hybrid hierarchic system which contains hierarchic and non hierarchic system is established for the analysis of the system. In order to eliminate the difference of the sharing design variable and the state variable in MDO, the collaborative rule of them has been established. The collaborative rule of the function is given for the consistency of the sharing design variable and the state design variable. The MHHDO method which based on collaborative rule of the sharing design variable, the state design variable and the function can eliminated the difference of them, it can eventually obtain the optimal solution of the allover system.\",\"PeriodicalId\":6316,\"journal\":{\"name\":\"2011 IEEE 2nd International Conference on Computing, Control and Industrial Engineering\",\"volume\":\"25 1\",\"pages\":\"286-289\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE 2nd International Conference on Computing, Control and Industrial Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCIENG.2011.6008014\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE 2nd International Conference on Computing, Control and Industrial Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCIENG.2011.6008014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on multidisciplinary hybrid hierarchic optimization method
This paper studies Multidisciplinary Hybrid Hierarchic Design Optimization (MHHDO) method for the hybrid hierarchic system. The collaborative model of the hybrid hierarchic system which contains hierarchic and non hierarchic system is established for the analysis of the system. In order to eliminate the difference of the sharing design variable and the state variable in MDO, the collaborative rule of them has been established. The collaborative rule of the function is given for the consistency of the sharing design variable and the state design variable. The MHHDO method which based on collaborative rule of the sharing design variable, the state design variable and the function can eliminated the difference of them, it can eventually obtain the optimal solution of the allover system.