Qingxue Liu, Yanxia Sun, Xia Wang, Yan Wang, Yuqing Tian
{"title":"An Optimization Design Method of Cloud Manufacturing Service Process Based on Improved Artificial Bee Colony Algorithm","authors":"Qingxue Liu, Yanxia Sun, Xia Wang, Yan Wang, Yuqing Tian","doi":"10.1145/3569966.3569972","DOIUrl":null,"url":null,"abstract":"Abstract: To improve the generation efficiency and quality of the optimal cloud manufacturing service process, a cloud manufacturing service process optimization method based on the improved artificial bee colony algorithm is proposed. A service process response architecture oriented service clusters is constructed, which reduces the searching space by clustering similar services into a same group. An improved artificial bee colony algorithm is designed to improve the quality of service composition. Experiment results show that the optimal quality of cloud manufacturing service process generated by the proposed method is better than the state-of-art service process optimization algorithms. CCS CONCEPTS •Computing methodologies •Modeling and simulation •Model development and analysis •Model verification and validation","PeriodicalId":145580,"journal":{"name":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3569966.3569972","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract: To improve the generation efficiency and quality of the optimal cloud manufacturing service process, a cloud manufacturing service process optimization method based on the improved artificial bee colony algorithm is proposed. A service process response architecture oriented service clusters is constructed, which reduces the searching space by clustering similar services into a same group. An improved artificial bee colony algorithm is designed to improve the quality of service composition. Experiment results show that the optimal quality of cloud manufacturing service process generated by the proposed method is better than the state-of-art service process optimization algorithms. CCS CONCEPTS •Computing methodologies •Modeling and simulation •Model development and analysis •Model verification and validation
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
