{"title":"弹性网排序的操作问题","authors":"Chien-Hung Wei","doi":"10.1016/S0954-1810(00)00009-1","DOIUrl":null,"url":null,"abstract":"<div><p>The usefulness of the elastic net (EN) approach for the general sequencing problem is investigated. Initial parameter setting and subsequent adjustments need to be intelligently undertaken for various applications. Based on the experiments on the typical traveling salesman problem, helpful guidelines were suggested. Computational results indicate that EN may be accepted as a candidate approach to a class of sequencing problems where multiple attributes are considered.</p></div>","PeriodicalId":100123,"journal":{"name":"Artificial Intelligence in Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2000-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0954-1810(00)00009-1","citationCount":"0","resultStr":"{\"title\":\"Operational issues of sequencing with elastic nets\",\"authors\":\"Chien-Hung Wei\",\"doi\":\"10.1016/S0954-1810(00)00009-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The usefulness of the elastic net (EN) approach for the general sequencing problem is investigated. Initial parameter setting and subsequent adjustments need to be intelligently undertaken for various applications. Based on the experiments on the typical traveling salesman problem, helpful guidelines were suggested. Computational results indicate that EN may be accepted as a candidate approach to a class of sequencing problems where multiple attributes are considered.</p></div>\",\"PeriodicalId\":100123,\"journal\":{\"name\":\"Artificial Intelligence in Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/S0954-1810(00)00009-1\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Artificial Intelligence in Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0954181000000091\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Artificial Intelligence in Engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0954181000000091","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Operational issues of sequencing with elastic nets
The usefulness of the elastic net (EN) approach for the general sequencing problem is investigated. Initial parameter setting and subsequent adjustments need to be intelligently undertaken for various applications. Based on the experiments on the typical traveling salesman problem, helpful guidelines were suggested. Computational results indicate that EN may be accepted as a candidate approach to a class of sequencing problems where multiple attributes are considered.