{"title":"基于多目标遗传算法的主动隔振系统集成优化","authors":"Zhang Yi, Lu Chao, Zhang Hu, Han Jun","doi":"10.1109/CCIENG.2011.6008007","DOIUrl":null,"url":null,"abstract":"A dynamic model of active vibration isolation system is established, and on the basis a multi-objective model for active vibration isolation system is set up. The improved non-dominated sorting genetic algorithm has been adopted to do the optimization. The paper carries out performance active vibration isolation system integrated optimization. The results show that this way can effectively enhance effect of the active vibration isolation system.","PeriodicalId":6316,"journal":{"name":"2011 IEEE 2nd International Conference on Computing, Control and Industrial Engineering","volume":"67 1","pages":"258-261"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Active vibration isolation system integrated optimization based on multi-objective genetic algorithm\",\"authors\":\"Zhang Yi, Lu Chao, Zhang Hu, Han Jun\",\"doi\":\"10.1109/CCIENG.2011.6008007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A dynamic model of active vibration isolation system is established, and on the basis a multi-objective model for active vibration isolation system is set up. The improved non-dominated sorting genetic algorithm has been adopted to do the optimization. The paper carries out performance active vibration isolation system integrated optimization. The results show that this way can effectively enhance effect of the active vibration isolation system.\",\"PeriodicalId\":6316,\"journal\":{\"name\":\"2011 IEEE 2nd International Conference on Computing, Control and Industrial Engineering\",\"volume\":\"67 1\",\"pages\":\"258-261\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"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.2011.6008007\",\"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.2011.6008007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Active vibration isolation system integrated optimization based on multi-objective genetic algorithm
A dynamic model of active vibration isolation system is established, and on the basis a multi-objective model for active vibration isolation system is set up. The improved non-dominated sorting genetic algorithm has been adopted to do the optimization. The paper carries out performance active vibration isolation system integrated optimization. The results show that this way can effectively enhance effect of the active vibration isolation system.