CTO问题的组织/模糊方法

J. Andrade, Robson Oliveira, T. Silva, J. Maia, G. Campos
{"title":"CTO问题的组织/模糊方法","authors":"J. Andrade, Robson Oliveira, T. Silva, J. Maia, G. Campos","doi":"10.1109/BRACIS.2018.00083","DOIUrl":null,"url":null,"abstract":"In the CTO problem a group of moving observers should monitor a group of moving targets in order to maximize the average number of observed targets (ANOT). This work proposes and evaluates a centralized strategy based on FCM (Fuzzy C-means) to determine the movement of the observers in a setting in which the targets move randomly. The observer group is modeled as an agent organization specified in an FSB (Function-Structure-Behavior) standard. Compared with similar works, the test results are competitive in addition to avoiding known drawbacks reported in the literature.","PeriodicalId":405190,"journal":{"name":"2018 7th Brazilian Conference on Intelligent Systems (BRACIS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Organization/fuzzy Approach to the CTO Problem\",\"authors\":\"J. Andrade, Robson Oliveira, T. Silva, J. Maia, G. Campos\",\"doi\":\"10.1109/BRACIS.2018.00083\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the CTO problem a group of moving observers should monitor a group of moving targets in order to maximize the average number of observed targets (ANOT). This work proposes and evaluates a centralized strategy based on FCM (Fuzzy C-means) to determine the movement of the observers in a setting in which the targets move randomly. The observer group is modeled as an agent organization specified in an FSB (Function-Structure-Behavior) standard. Compared with similar works, the test results are competitive in addition to avoiding known drawbacks reported in the literature.\",\"PeriodicalId\":405190,\"journal\":{\"name\":\"2018 7th Brazilian Conference on Intelligent Systems (BRACIS)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 7th Brazilian Conference on Intelligent Systems (BRACIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BRACIS.2018.00083\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 7th Brazilian Conference on Intelligent Systems (BRACIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BRACIS.2018.00083","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

摘要

在CTO问题中,一组运动观察者应监视一组运动目标,以使观察目标的平均数量(ANOT)最大化。本文提出并评估了一种基于FCM(模糊c均值)的集中策略,以确定观察者在目标随机移动的情况下的运动。观察组被建模为FSB(功能-结构-行为)标准中指定的代理组织。与同类作品相比,测试结果具有竞争力,并且避免了文献中报道的已知缺陷。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Organization/fuzzy Approach to the CTO Problem
In the CTO problem a group of moving observers should monitor a group of moving targets in order to maximize the average number of observed targets (ANOT). This work proposes and evaluates a centralized strategy based on FCM (Fuzzy C-means) to determine the movement of the observers in a setting in which the targets move randomly. The observer group is modeled as an agent organization specified in an FSB (Function-Structure-Behavior) standard. Compared with similar works, the test results are competitive in addition to avoiding known drawbacks reported in the literature.
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:481959085
Book学术官方微信