{"title":"基于多目标遗传算法的工业以太网拓扑设计","authors":"Lei Zhang, M. Lampe, Zhi Wang","doi":"10.1109/ChinaCom.2011.6158251","DOIUrl":null,"url":null,"abstract":"This paper addresses the problem of network topology design from an industry perspective. The topology design of industrial communication networks is formulated as a multi-objective optimization problem, considering the specific requirements of industrial applications, e.g. the diversified real-time requirements, fast recovery time, high reliability, and low cost. Different from previous publications, the problem is discussed with respect to distributed multi-ring network structures. A weighted Dandelion encoding is proposed to represent multi-ring topologies and incorporated into a multi-objective genetic algorithm to find close-to-optimal solutions. Experimental results for different application examples show the effectiveness of the proposed algorithm.","PeriodicalId":339961,"journal":{"name":"2011 6th International ICST Conference on Communications and Networking in China (CHINACOM)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Topology design of industrial ethernet networks using a multi-objective genetic algorithm\",\"authors\":\"Lei Zhang, M. Lampe, Zhi Wang\",\"doi\":\"10.1109/ChinaCom.2011.6158251\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addresses the problem of network topology design from an industry perspective. The topology design of industrial communication networks is formulated as a multi-objective optimization problem, considering the specific requirements of industrial applications, e.g. the diversified real-time requirements, fast recovery time, high reliability, and low cost. Different from previous publications, the problem is discussed with respect to distributed multi-ring network structures. A weighted Dandelion encoding is proposed to represent multi-ring topologies and incorporated into a multi-objective genetic algorithm to find close-to-optimal solutions. Experimental results for different application examples show the effectiveness of the proposed algorithm.\",\"PeriodicalId\":339961,\"journal\":{\"name\":\"2011 6th International ICST Conference on Communications and Networking in China (CHINACOM)\",\"volume\":\"125 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-08-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 6th International ICST Conference on Communications and Networking in China (CHINACOM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ChinaCom.2011.6158251\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 6th International ICST Conference on Communications and Networking in China (CHINACOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ChinaCom.2011.6158251","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Topology design of industrial ethernet networks using a multi-objective genetic algorithm
This paper addresses the problem of network topology design from an industry perspective. The topology design of industrial communication networks is formulated as a multi-objective optimization problem, considering the specific requirements of industrial applications, e.g. the diversified real-time requirements, fast recovery time, high reliability, and low cost. Different from previous publications, the problem is discussed with respect to distributed multi-ring network structures. A weighted Dandelion encoding is proposed to represent multi-ring topologies and incorporated into a multi-objective genetic algorithm to find close-to-optimal solutions. Experimental results for different application examples show the effectiveness of the proposed algorithm.