Dawid Ohia, I. Pozniak-Koszalka, L. Koszalka, A. Kasprzak
{"title":"Efficiency Analysis of Evolutionary Algorithm for Congestion Problem Using Computer Experimentation System","authors":"Dawid Ohia, I. Pozniak-Koszalka, L. Koszalka, A. Kasprzak","doi":"10.1109/ICN.2009.18","DOIUrl":null,"url":null,"abstract":"This paper presents a proposed highly configurable evolutionary algorithm together with a computer experimentation system supporting its efficiency analysis. An important issue in the network survivability area dealing with the congestion problem in connection-oriented networks is the optimization task. The presented system enables planning and performing complex experiments with the proposed evolutionary algorithms. Particular emphasis was placed on parameter control and tuning process of evolutionary algorithm. Description of performed experiments and computational results are reported as well as plans for further research.","PeriodicalId":299215,"journal":{"name":"2009 Eighth International Conference on Networks","volume":"15 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Eighth International Conference on Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICN.2009.18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents a proposed highly configurable evolutionary algorithm together with a computer experimentation system supporting its efficiency analysis. An important issue in the network survivability area dealing with the congestion problem in connection-oriented networks is the optimization task. The presented system enables planning and performing complex experiments with the proposed evolutionary algorithms. Particular emphasis was placed on parameter control and tuning process of evolutionary algorithm. Description of performed experiments and computational results are reported as well as plans for further research.