{"title":"利用纳什博弈和适当的变量共享优化公务飞机机翼的航空结构","authors":"B. A. E. Majd, J. Désidéri, Abderrahmane Habbal","doi":"10.1051/MECA/2010041","DOIUrl":null,"url":null,"abstract":"This article focuses on multidisciplinary optimization in situations in which the different criteria that account for the various disciplines are functionals of distributed solutions of partial-differential equations. In the case of two disciplines, we propose a strategy in which the optimization process is carried out in two phases: (a) a cooperative-optimization phase throughout which both criteria improve at each iteration, and (b) an optional competitive-optimization phase by a Nash game associated with an adapted split of variables.","PeriodicalId":49847,"journal":{"name":"Mecanique & Industries","volume":"3 1","pages":"209-214"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Optimisation aéro-structurale de la voilure d’un avion d’affaires par un jeu de Nash et un partage adapté des variables\",\"authors\":\"B. A. E. Majd, J. Désidéri, Abderrahmane Habbal\",\"doi\":\"10.1051/MECA/2010041\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article focuses on multidisciplinary optimization in situations in which the different criteria that account for the various disciplines are functionals of distributed solutions of partial-differential equations. In the case of two disciplines, we propose a strategy in which the optimization process is carried out in two phases: (a) a cooperative-optimization phase throughout which both criteria improve at each iteration, and (b) an optional competitive-optimization phase by a Nash game associated with an adapted split of variables.\",\"PeriodicalId\":49847,\"journal\":{\"name\":\"Mecanique & Industries\",\"volume\":\"3 1\",\"pages\":\"209-214\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mecanique & Industries\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1051/MECA/2010041\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mecanique & Industries","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1051/MECA/2010041","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimisation aéro-structurale de la voilure d’un avion d’affaires par un jeu de Nash et un partage adapté des variables
This article focuses on multidisciplinary optimization in situations in which the different criteria that account for the various disciplines are functionals of distributed solutions of partial-differential equations. In the case of two disciplines, we propose a strategy in which the optimization process is carried out in two phases: (a) a cooperative-optimization phase throughout which both criteria improve at each iteration, and (b) an optional competitive-optimization phase by a Nash game associated with an adapted split of variables.