{"title":"基于并行多目标进化算法的电信网络设计","authors":"S. D. Flores, B. Cegla, Diana Benítez Cáceres","doi":"10.1145/1035662.1035663","DOIUrl":null,"url":null,"abstract":"This paper proposes parallel asynchronous versions of promising multi-objective evolutionary algorithms, implemented over a network of personal computers, with the aim of designing an optimal telecommunication network in the presence of multiple conflicting objectives as cost and performance. The resulting tool provides a set of Pareto optimal solutions, facilitating the decision making process of designing a telecommunication network with a mix of different technologies.","PeriodicalId":415618,"journal":{"name":"International Latin American Networking Conference","volume":"70 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":"{\"title\":\"Telecommunication network design with parallel multi-objective evolutionary algorithms\",\"authors\":\"S. D. Flores, B. Cegla, Diana Benítez Cáceres\",\"doi\":\"10.1145/1035662.1035663\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes parallel asynchronous versions of promising multi-objective evolutionary algorithms, implemented over a network of personal computers, with the aim of designing an optimal telecommunication network in the presence of multiple conflicting objectives as cost and performance. The resulting tool provides a set of Pareto optimal solutions, facilitating the decision making process of designing a telecommunication network with a mix of different technologies.\",\"PeriodicalId\":415618,\"journal\":{\"name\":\"International Latin American Networking Conference\",\"volume\":\"70 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"31\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Latin American Networking Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1035662.1035663\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Latin American Networking Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1035662.1035663","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Telecommunication network design with parallel multi-objective evolutionary algorithms
This paper proposes parallel asynchronous versions of promising multi-objective evolutionary algorithms, implemented over a network of personal computers, with the aim of designing an optimal telecommunication network in the presence of multiple conflicting objectives as cost and performance. The resulting tool provides a set of Pareto optimal solutions, facilitating the decision making process of designing a telecommunication network with a mix of different technologies.