{"title":"基于探针群体的初始化和基于遗传池的复制,用于进化双目标特征选择","authors":"Hang Xu, Bing Xue, Mengjie Zhang","doi":"10.1109/tevc.2024.3403655","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":13206,"journal":{"name":"IEEE Transactions on Evolutionary Computation","volume":"53 1","pages":""},"PeriodicalIF":11.7000,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Probe Population Based Initialization and Genetic Pool Based Reproduction for Evolutionary Bi-Objective Feature Selection\",\"authors\":\"Hang Xu, Bing Xue, Mengjie Zhang\",\"doi\":\"10.1109/tevc.2024.3403655\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":13206,\"journal\":{\"name\":\"IEEE Transactions on Evolutionary Computation\",\"volume\":\"53 1\",\"pages\":\"\"},\"PeriodicalIF\":11.7000,\"publicationDate\":\"2024-05-21\",\"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.2024.3403655\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Evolutionary Computation","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1109/tevc.2024.3403655","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}
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.