遗传算法在地电找矿中的应用

W. Calixto, Luciano Martins Neto, Marcel Wu, K. Yamanaka, Hipólito Barbosa Machado Filho
{"title":"遗传算法在地电找矿中的应用","authors":"W. Calixto, Luciano Martins Neto, Marcel Wu, K. Yamanaka, Hipólito Barbosa Machado Filho","doi":"10.1109/EEEIC.2010.5489927","DOIUrl":null,"url":null,"abstract":"This work presents an optimization methodology using a Genetic Algorithm, to obtain the parameters of a soil that can be represented in a multi layer structure. The method uses a curve of experimental apparent resistivity obtained from measurements made in the soil. This experimental curve is compared with another curve of theoretical apparent resistivity of the soil, produced by the genetic algorithm. The main difference of this method regarding the already developed methods, is just that, besides optimizing the resistivities ρi and the thicknesses hi of each layer, the proposed method also optimizes the layers N quantity, seeking the best soil stratification. The obtained results of this work are compared with others soil stratification methods.","PeriodicalId":197298,"journal":{"name":"2010 9th International Conference on Environment and Electrical Engineering","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Genetic algorithm applied in a geoelectrical prospecting method\",\"authors\":\"W. Calixto, Luciano Martins Neto, Marcel Wu, K. Yamanaka, Hipólito Barbosa Machado Filho\",\"doi\":\"10.1109/EEEIC.2010.5489927\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work presents an optimization methodology using a Genetic Algorithm, to obtain the parameters of a soil that can be represented in a multi layer structure. The method uses a curve of experimental apparent resistivity obtained from measurements made in the soil. This experimental curve is compared with another curve of theoretical apparent resistivity of the soil, produced by the genetic algorithm. The main difference of this method regarding the already developed methods, is just that, besides optimizing the resistivities ρi and the thicknesses hi of each layer, the proposed method also optimizes the layers N quantity, seeking the best soil stratification. The obtained results of this work are compared with others soil stratification methods.\",\"PeriodicalId\":197298,\"journal\":{\"name\":\"2010 9th International Conference on Environment and Electrical Engineering\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 9th International Conference on Environment and Electrical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EEEIC.2010.5489927\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 9th International Conference on Environment and Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EEEIC.2010.5489927","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

这项工作提出了一种使用遗传算法的优化方法,以获得可以在多层结构中表示的土壤参数。该方法使用在土壤中测量得到的实验视电阻率曲线。该实验曲线与另一条由遗传算法得到的土壤视电阻率理论曲线进行了比较。该方法与已有方法的主要区别在于,除了对各层电阻率ρi和厚度hi进行优化外,还对各层N的数量进行优化,寻求最佳的土壤分层。并将所得结果与其他土壤分层方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic algorithm applied in a geoelectrical prospecting method
This work presents an optimization methodology using a Genetic Algorithm, to obtain the parameters of a soil that can be represented in a multi layer structure. The method uses a curve of experimental apparent resistivity obtained from measurements made in the soil. This experimental curve is compared with another curve of theoretical apparent resistivity of the soil, produced by the genetic algorithm. The main difference of this method regarding the already developed methods, is just that, besides optimizing the resistivities ρi and the thicknesses hi of each layer, the proposed method also optimizes the layers N quantity, seeking the best soil stratification. The obtained results of this work are compared with others soil stratification methods.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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