Wang Xiang-feng, Li Bo, Zhang Gang, Sun Li, Hu Jun-yu
{"title":"铣削系统运行优化算法研究","authors":"Wang Xiang-feng, Li Bo, Zhang Gang, Sun Li, Hu Jun-yu","doi":"10.1109/ICCSEE.2012.350","DOIUrl":null,"url":null,"abstract":"A method of milling system operation optimization is proposed in this paper. First, use Support Vector Machine to get the relations between milling unit consumption and its related operation parameters. Second, optimize the model with the help of genetic algorithm and composite algorithm, and then optimal operation parameters of this milling system under different working conditions are got, which can guide the operator's operation. Tests show that this method has high modeling accuracy and optimization speed, also, it proves good reliability and efficiency.","PeriodicalId":132465,"journal":{"name":"2012 International Conference on Computer Science and Electronics Engineering","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research on Operation Optimization Algorithm of Milling System\",\"authors\":\"Wang Xiang-feng, Li Bo, Zhang Gang, Sun Li, Hu Jun-yu\",\"doi\":\"10.1109/ICCSEE.2012.350\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method of milling system operation optimization is proposed in this paper. First, use Support Vector Machine to get the relations between milling unit consumption and its related operation parameters. Second, optimize the model with the help of genetic algorithm and composite algorithm, and then optimal operation parameters of this milling system under different working conditions are got, which can guide the operator's operation. Tests show that this method has high modeling accuracy and optimization speed, also, it proves good reliability and efficiency.\",\"PeriodicalId\":132465,\"journal\":{\"name\":\"2012 International Conference on Computer Science and Electronics Engineering\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-03-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Computer Science and Electronics Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSEE.2012.350\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Computer Science and Electronics Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSEE.2012.350","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Operation Optimization Algorithm of Milling System
A method of milling system operation optimization is proposed in this paper. First, use Support Vector Machine to get the relations between milling unit consumption and its related operation parameters. Second, optimize the model with the help of genetic algorithm and composite algorithm, and then optimal operation parameters of this milling system under different working conditions are got, which can guide the operator's operation. Tests show that this method has high modeling accuracy and optimization speed, also, it proves good reliability and efficiency.