Liao Jian-hua, Chen Song-qiao, Li Yong-jun, Li Gui-lin
{"title":"遗传算法在qos感知Web服务组合中的应用","authors":"Liao Jian-hua, Chen Song-qiao, Li Yong-jun, Li Gui-lin","doi":"10.1109/ICIEA.2008.4582569","DOIUrl":null,"url":null,"abstract":"Finding the most superior composite services belongs to the multi-objective and combination optimization category, this paper proposed a new solution to this problem which uses Pseudo-parallel genetic algorithm based on the up-triangular relationship matrix coding mode of chromosomes, and applies it in an example of itinerary scheme. Experiment results show the algorithm has a better performance.","PeriodicalId":309894,"journal":{"name":"2008 3rd IEEE Conference on Industrial Electronics and Applications","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Application of genetic algorithm to QoS-aware Web Services composition\",\"authors\":\"Liao Jian-hua, Chen Song-qiao, Li Yong-jun, Li Gui-lin\",\"doi\":\"10.1109/ICIEA.2008.4582569\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Finding the most superior composite services belongs to the multi-objective and combination optimization category, this paper proposed a new solution to this problem which uses Pseudo-parallel genetic algorithm based on the up-triangular relationship matrix coding mode of chromosomes, and applies it in an example of itinerary scheme. Experiment results show the algorithm has a better performance.\",\"PeriodicalId\":309894,\"journal\":{\"name\":\"2008 3rd IEEE Conference on Industrial Electronics and Applications\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 3rd IEEE Conference on Industrial Electronics and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIEA.2008.4582569\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 3rd IEEE Conference on Industrial Electronics and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA.2008.4582569","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of genetic algorithm to QoS-aware Web Services composition
Finding the most superior composite services belongs to the multi-objective and combination optimization category, this paper proposed a new solution to this problem which uses Pseudo-parallel genetic algorithm based on the up-triangular relationship matrix coding mode of chromosomes, and applies it in an example of itinerary scheme. Experiment results show the algorithm has a better performance.