Genetic Algorithm in Optimization Problems for Greenhouse Facilities

Vitaliy Lysenko, I. Bolbot, T. Lendiel, V. Koval, Ihor Nakonechnyy
{"title":"Genetic Algorithm in Optimization Problems for Greenhouse Facilities","authors":"Vitaliy Lysenko, I. Bolbot, T. Lendiel, V. Koval, Ihor Nakonechnyy","doi":"10.1109/CSIT56902.2022.10000750","DOIUrl":null,"url":null,"abstract":"The research offers the analysis of the significance of factors influencing the total consumption of energy resources in protected ground facilities; identifies those that are mandatory in the calculation of relevant strategies for the control of complex biotechnical facilities; on the basis of the use of genetic algorithm establishes the optimal number of basic factors of plant life support, which the energy resources are spent on for maintaining their appropriate technological levels.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSIT56902.2022.10000750","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

The research offers the analysis of the significance of factors influencing the total consumption of energy resources in protected ground facilities; identifies those that are mandatory in the calculation of relevant strategies for the control of complex biotechnical facilities; on the basis of the use of genetic algorithm establishes the optimal number of basic factors of plant life support, which the energy resources are spent on for maintaining their appropriate technological levels.
遗传算法在温室设施优化问题中的应用
研究分析了地面保护设施能源总消耗影响因素的显著性;确定在计算控制复杂生物技术设施的有关战略时必须采取的措施;在此基础上,利用遗传算法确定植物生命维持基本因子的最优数量,使能量资源用于维持其适当的技术水平。
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:481959085
Book学术官方微信