{"title":"基于协同优化中线性物理规划集成的多目标优化研究","authors":"Lei Li, Yan-hui Hang","doi":"10.1109/FSKD.2012.6234280","DOIUrl":null,"url":null,"abstract":"The Multidisciplinary Design Optimization (MDO) problem with multiple, conflicting objectives was hardly resolved by tradition individual disciplinary optimization design method. It is combined the MDO method with multi-objective optimization method to formulate the integration of multi-objective MDO method. This integration method could handle hierarchically optimization problems meanwhile trade off multiple objectives in the problems, based on optimization concurrently to attain consistence design. Through a mathematical example, it is verified that this method is acceptably and efficiently.","PeriodicalId":337941,"journal":{"name":"International Conference on Fuzzy Systems and Knowledge Discovery","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Study on multi-objective optimization based on the integration of linear physical programming within collaborative optimization\",\"authors\":\"Lei Li, Yan-hui Hang\",\"doi\":\"10.1109/FSKD.2012.6234280\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Multidisciplinary Design Optimization (MDO) problem with multiple, conflicting objectives was hardly resolved by tradition individual disciplinary optimization design method. It is combined the MDO method with multi-objective optimization method to formulate the integration of multi-objective MDO method. This integration method could handle hierarchically optimization problems meanwhile trade off multiple objectives in the problems, based on optimization concurrently to attain consistence design. Through a mathematical example, it is verified that this method is acceptably and efficiently.\",\"PeriodicalId\":337941,\"journal\":{\"name\":\"International Conference on Fuzzy Systems and Knowledge Discovery\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Fuzzy Systems and Knowledge Discovery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FSKD.2012.6234280\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Fuzzy Systems and Knowledge Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FSKD.2012.6234280","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on multi-objective optimization based on the integration of linear physical programming within collaborative optimization
The Multidisciplinary Design Optimization (MDO) problem with multiple, conflicting objectives was hardly resolved by tradition individual disciplinary optimization design method. It is combined the MDO method with multi-objective optimization method to formulate the integration of multi-objective MDO method. This integration method could handle hierarchically optimization problems meanwhile trade off multiple objectives in the problems, based on optimization concurrently to attain consistence design. Through a mathematical example, it is verified that this method is acceptably and efficiently.
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