{"title":"A context-aware E-workflow composition based on fuzzy preferences evolutionary algorithm","authors":"Hongbin Sun, Yongsheng Ding","doi":"10.1109/ICSSSM.2009.5175000","DOIUrl":null,"url":null,"abstract":"The paper describes a new preference method and its use in E-workflow composition based on context-aware. The E-workflow composition is achieved by the evolution of the mobile agent based on the semantic negotiation. The mobile agent use projection-join closure to capture such message situations, the optimization of the E-workflow composition is translated into dynamic services selection with QoS global optimization. We propose a fuzzy preferences evolutionary algorithm to resolve it. The simulation results show that the approach can significantly improve the performance. It adapts well to the changes of uncertainty environments","PeriodicalId":287881,"journal":{"name":"2009 6th International Conference on Service Systems and Service Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 6th International Conference on Service Systems and Service Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSSM.2009.5175000","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The paper describes a new preference method and its use in E-workflow composition based on context-aware. The E-workflow composition is achieved by the evolution of the mobile agent based on the semantic negotiation. The mobile agent use projection-join closure to capture such message situations, the optimization of the E-workflow composition is translated into dynamic services selection with QoS global optimization. We propose a fuzzy preferences evolutionary algorithm to resolve it. The simulation results show that the approach can significantly improve the performance. It adapts well to the changes of uncertainty environments