{"title":"基于蚁群算法和遗传算法集成的QoE评价方法","authors":"Ying Bao, Zhaozheng Li, Qian Wei","doi":"10.1145/3424978.3424984","DOIUrl":null,"url":null,"abstract":"This paper proposed a QoE evaluation algorithm based on the combination of ant colony algorithm and genetic algorithm under the mode of multipath transmission in overlay network. On the basis of the original QoE collaborative evaluation mechanism, the algorithm combined the survival of the fittest mode of genetic algorithm and the time effectiveness of ant colony algorithm to optimize the server side QoE evaluation information. So that the QoE collaborative evaluation mechanism could evaluate or predict the media service more accurately, and optimize the QoE collaborative evaluation method for media transmission service on the server side. Finally, the effectiveness and feasibility of the algorithm were verified by the high-definition streaming media service.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"QoE Evaluation Method Based on Integration of Ant Colony Algorithm and Genetic Algorithm\",\"authors\":\"Ying Bao, Zhaozheng Li, Qian Wei\",\"doi\":\"10.1145/3424978.3424984\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposed a QoE evaluation algorithm based on the combination of ant colony algorithm and genetic algorithm under the mode of multipath transmission in overlay network. On the basis of the original QoE collaborative evaluation mechanism, the algorithm combined the survival of the fittest mode of genetic algorithm and the time effectiveness of ant colony algorithm to optimize the server side QoE evaluation information. So that the QoE collaborative evaluation mechanism could evaluate or predict the media service more accurately, and optimize the QoE collaborative evaluation method for media transmission service on the server side. Finally, the effectiveness and feasibility of the algorithm were verified by the high-definition streaming media service.\",\"PeriodicalId\":178822,\"journal\":{\"name\":\"Proceedings of the 4th International Conference on Computer Science and Application Engineering\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 4th International Conference on Computer Science and Application Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3424978.3424984\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3424978.3424984","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
QoE Evaluation Method Based on Integration of Ant Colony Algorithm and Genetic Algorithm
This paper proposed a QoE evaluation algorithm based on the combination of ant colony algorithm and genetic algorithm under the mode of multipath transmission in overlay network. On the basis of the original QoE collaborative evaluation mechanism, the algorithm combined the survival of the fittest mode of genetic algorithm and the time effectiveness of ant colony algorithm to optimize the server side QoE evaluation information. So that the QoE collaborative evaluation mechanism could evaluate or predict the media service more accurately, and optimize the QoE collaborative evaluation method for media transmission service on the server side. Finally, the effectiveness and feasibility of the algorithm were verified by the high-definition streaming media service.