S. Esquivel, M. García, G. Leguizamón, Maximiliano Ribba
{"title":"A comparison of two mutation operators for the path planning problem","authors":"S. Esquivel, M. García, G. Leguizamón, Maximiliano Ribba","doi":"10.1109/CEC.2004.1330953","DOIUrl":null,"url":null,"abstract":"This work presents a comparative analysis of two problem-sensitive mutation operators for the off-line path planning problem. Our aim is to study the behavior of an evolutionary algorithm in stationary environments in order to extend it to the on-line path planning problem. The main difference between the two mutation operators studied is that one of them defines a control mechanism for the extent of exploration. The results show that this last operator improves the quality of the paths found by the algorithm.","PeriodicalId":152088,"journal":{"name":"Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEC.2004.1330953","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This work presents a comparative analysis of two problem-sensitive mutation operators for the off-line path planning problem. Our aim is to study the behavior of an evolutionary algorithm in stationary environments in order to extend it to the on-line path planning problem. The main difference between the two mutation operators studied is that one of them defines a control mechanism for the extent of exploration. The results show that this last operator improves the quality of the paths found by the algorithm.