{"title":"Evolutionary multi-objective approach to control of mobile robot in unknown environment","authors":"S. Konjicija, Z. Avdagić","doi":"10.1109/ICAT.2009.5348429","DOIUrl":null,"url":null,"abstract":"This paper describes how a non-stationary multi-objective optimization model can be used for synthesis of control of mobile robot in unknown environment. The modelled problem is solved using multi-objective genetic algorithm (MOGA). Results of experiments conducted in simulation environment demonstrate the application of the described approach.","PeriodicalId":211842,"journal":{"name":"2009 XXII International Symposium on Information, Communication and Automation Technologies","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 XXII International Symposium on Information, Communication and Automation Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAT.2009.5348429","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 describes how a non-stationary multi-objective optimization model can be used for synthesis of control of mobile robot in unknown environment. The modelled problem is solved using multi-objective genetic algorithm (MOGA). Results of experiments conducted in simulation environment demonstrate the application of the described approach.
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