{"title":"RETRACTION","authors":"","doi":"10.1111/coin.70070","DOIUrl":null,"url":null,"abstract":"<p>\n <b>RETRACTION</b>: <span>R. Mathi</span>, <span>S. Jayalalitha</span>, “ <span>Influence of Renewable Energy Sources on the Scheduling on Thermal Power Stations and its Optimization for <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mtext>CO</mtext>\n <mn>2</mn>\n </msub>\n </mrow>\n <annotation>$$ {\\mathrm{CO}}_2 $$</annotation>\n </semantics></math> Reduction</span>,” <i>Computational Intelligence</i> <span>38</span> no. <span>3</span> (<span>2022</span>): <span>903</span>–<span>920</span>, https://doi.org/10.1111/coin.12477.</p><p>The above article, published online on 10 October 2021 in Wiley Online Library (wileyonlinelibrary.com) has been retracted by agreement between the journal Editor-in-Chief, Diana Inkpen; and Wiley Periodicals LLC. The article was published as part of a guest-edited issue. Following an investigation by the publisher, all parties have concluded that this article was accepted solely on the basis of a compromised peer review process. The editors have therefore decided to retract the article. The authors have been informed of the retraction.</p>","PeriodicalId":55228,"journal":{"name":"Computational Intelligence","volume":"41 3","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/coin.70070","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Intelligence","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/coin.70070","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
RETRACTION: R. Mathi, S. Jayalalitha, “ Influence of Renewable Energy Sources on the Scheduling on Thermal Power Stations and its Optimization for Reduction,” Computational Intelligence38 no. 3 (2022): 903–920, https://doi.org/10.1111/coin.12477.
The above article, published online on 10 October 2021 in Wiley Online Library (wileyonlinelibrary.com) has been retracted by agreement between the journal Editor-in-Chief, Diana Inkpen; and Wiley Periodicals LLC. The article was published as part of a guest-edited issue. Following an investigation by the publisher, all parties have concluded that this article was accepted solely on the basis of a compromised peer review process. The editors have therefore decided to retract the article. The authors have been informed of the retraction.
期刊介绍:
This leading international journal promotes and stimulates research in the field of artificial intelligence (AI). Covering a wide range of issues - from the tools and languages of AI to its philosophical implications - Computational Intelligence provides a vigorous forum for the publication of both experimental and theoretical research, as well as surveys and impact studies. The journal is designed to meet the needs of a wide range of AI workers in academic and industrial research.