A Diversity-Enhanced Tri-Stage Framework for Constrained Multi-objective Optimization

IF 11.7 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE IEEE Transactions on Evolutionary Computation Pub Date : 2024-09-13 DOI:10.1109/tevc.2024.3458079
Yubo Wang, Chengyu Hu, Fei Ming, Yanchi Li, Wenyin Gong, Liang Gao
{"title":"A Diversity-Enhanced Tri-Stage Framework for Constrained Multi-objective Optimization","authors":"Yubo Wang, Chengyu Hu, Fei Ming, Yanchi Li, Wenyin Gong, Liang Gao","doi":"10.1109/tevc.2024.3458079","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":13206,"journal":{"name":"IEEE Transactions on Evolutionary Computation","volume":null,"pages":null},"PeriodicalIF":11.7000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Evolutionary Computation","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1109/tevc.2024.3458079","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
约束多目标优化的多样性增强三阶段框架
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 去求助
来源期刊
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation 工程技术-计算机：理论方法
CiteScore
21.90
自引率
9.80%
发文量
196
审稿时长
3.6 months
期刊介绍： The IEEE Transactions on Evolutionary Computation is published by the IEEE Computational Intelligence Society on behalf of 13 societies: Circuits and Systems; Computer; Control Systems; Engineering in Medicine and Biology; Industrial Electronics; Industry Applications; Lasers and Electro-Optics; Oceanic Engineering; Power Engineering; Robotics and Automation; Signal Processing; Social Implications of Technology; and Systems, Man, and Cybernetics. The journal publishes original papers in evolutionary computation and related areas such as nature-inspired algorithms, population-based methods, optimization, and hybrid systems. It welcomes both purely theoretical papers and application papers that provide general insights into these areas of computation.
期刊最新文献
A Thompson Sampling-Based Sparse Evolutionary Operator for Sparse Large-Scale Multi-Objective Optimization DPP-HSS: Towards Fast and Scalable Hypervolume Subset Selection for Many-objective Optimization Optimal Linear Crossover for Mitigating Negative Transfer in Evolutionary Multitasking Pareto Optimization for Fair Subset Selection: A Case Study on Personalized Recommendation A Large-Scale Multi-Objective Evolutionary Quantile Estimation Model for Wind Power Probabilistic Forecasting
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1