A comparison of two mutation operators for the path planning problem

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.
路径规划问题中两种变异算子的比较
本文对离线路径规划问题的两种问题敏感变异算子进行了比较分析。我们的目的是研究一种进化算法在固定环境中的行为,以便将其推广到在线路径规划问题。所研究的两种突变操作符之间的主要区别在于,其中一种定义了对探索程度的控制机制。结果表明,最后一种算子提高了算法找到的路径质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信