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    Evolutionary Intelligence

    Evolutionary IntelligenceSCIE

    國際簡稱:EVOL INTELL  參考譯名:進(jìn)化智能

    • CiteScore分區(qū)

      Q1

    • JCR分區(qū)

      Q3

    基本信息:
    ISSN:1864-5909
    E-ISSN:1864-5917
    是否OA:未開放
    是否預(yù)警:否
    出版信息:
    出版商:Springer Nature
    出版語言:English
    出版周期:4 issues per year
    研究方向:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
    評(píng)價(jià)信息:
    影響因子:2.3
    CiteScore指數(shù):6.8
    SJR指數(shù):0.64
    SNIP指數(shù):0.99
    發(fā)文數(shù)據(jù):
    Gold OA文章占比:3.27%
    研究類文章占比:97.53%
    年發(fā)文量:81
    英文簡介 期刊介紹 CiteScore數(shù)據(jù) JCR分區(qū) 發(fā)文數(shù)據(jù) 常見問題

    英文簡介Evolutionary Intelligence期刊介紹

    Evolutionary Intelligence is an international academic journal dedicated to evolutionary computing and its applications in the field of artificial intelligence. This magazine is published by Springer Press and aims to publish high-quality research articles related to evolutionary algorithms, genetic programming, swarm intelligence, multi-objective optimization, and more. The journal covers theoretical research, algorithm development, experimental analysis, and practical application cases, aiming to promote scientific development and technological innovation in the field of intelligent computing.

    The magazine's readership includes academic researchers, engineers, computer scientists, as well as graduate and undergraduate students interested in evolutionary computing. Journals provide a platform for the academic community to exchange ideas, showcase innovation, and discuss future research directions by publishing cutting-edge research results. In addition, the magazine also focuses on the application of intelligent computing in solving complex engineering problems, data analysis, machine learning, and other fields, promoting the close integration of theory and practice.

    期刊簡介Evolutionary Intelligence期刊介紹

    《Evolutionary Intelligence》該刊近一年未被列入預(yù)警期刊名單,目前已被權(quán)威數(shù)據(jù)庫SCIE收錄,得到了廣泛的認(rèn)可。

    該期刊投稿重要關(guān)注點(diǎn):

    • 預(yù)計(jì)審稿時(shí)間:
    • SCIE
    • 非預(yù)警

    Cite Score數(shù)據(jù)(2024年最新版)Evolutionary Intelligence Cite Score數(shù)據(jù)

    • CiteScore:6.8
    • SJR:0.638
    • SNIP:0.992
    學(xué)科類別 分區(qū) 排名 百分位
    大類:Mathematics 小類:Mathematics (miscellaneous) Q1 4 / 90

    96%

    大類:Mathematics 小類:Cognitive Neuroscience Q1 29 / 115

    75%

    大類:Mathematics 小類:Computer Vision and Pattern Recognition Q2 28 / 106

    74%

    大類:Mathematics 小類:Artificial Intelligence Q2 112 / 350

    68%

    CiteScore 是由Elsevier(愛思唯爾)推出的另一種評(píng)價(jià)期刊影響力的文獻(xiàn)計(jì)量指標(biāo)。反映出一家期刊近期發(fā)表論文的年篇均引用次數(shù)。CiteScore以Scopus數(shù)據(jù)庫中收集的引文為基礎(chǔ),針對(duì)的是前四年發(fā)表的論文的引文。CiteScore的意義在于,它可以為學(xué)術(shù)界提供一種新的、更全面、更客觀地評(píng)價(jià)期刊影響力的方法,而不僅僅是通過影響因子(IF)這一單一指標(biāo)來評(píng)價(jià)。

    歷年Cite Score趨勢圖

    JCR分區(qū)Evolutionary Intelligence JCR分區(qū)

    2023-2024 年最新版
    按JIF指標(biāo)學(xué)科分區(qū) 收錄子集 分區(qū) 排名 百分位
    學(xué)科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ESCI Q3 116 / 197

    41.4%

    按JCI指標(biāo)學(xué)科分區(qū) 收錄子集 分區(qū) 排名 百分位
    學(xué)科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ESCI Q3 135 / 198

    32.07%

    JCR分區(qū)的優(yōu)勢在于它可以幫助讀者對(duì)學(xué)術(shù)文獻(xiàn)質(zhì)量進(jìn)行評(píng)估。不同學(xué)科的文章引用量可能存在較大的差異,此時(shí)單獨(dú)依靠影響因子(IF)評(píng)價(jià)期刊的質(zhì)量可能是存在一定問題的。因此,JCR將期刊按照學(xué)科門類和影響因子分為不同的分區(qū),這樣讀者可以根據(jù)自己的研究領(lǐng)域和需求選擇合適的期刊。

    歷年影響因子趨勢圖

    本刊中國學(xué)者近年發(fā)表論文

    • 1、Hybrid chaotic system-oriented artificial fish swarm neural network for image encryption

      Author: Liu, Junjun; Zhang, Jun; Yin, Shoulin

      Journal: EVOLUTIONARY INTELLIGENCE. 2023; Vol. 16, Issue 1, pp. 77-87. DOI: 10.1007/s12065-021-00643-5

    • 2、Multi-objective evolutionary algorithm for vehicle routing problem with time window under uncertainty

      Author: Tan, Fei; Chai, Zheng-yi; Li, Ya-lun

      Journal: EVOLUTIONARY INTELLIGENCE. 2023; Vol. 16, Issue 2, pp. 493-508. DOI: 10.1007/s12065-021-00672-0

    • 3、A novel fully convolutional network based on marker-controlled watershed segmentation algorithm for industrial soot robot target segmentation

      Author: Ju, Aiyun; Wang, Zhongli

      Journal: EVOLUTIONARY INTELLIGENCE. 2023; Vol. 16, Issue 3, pp. 963-980. DOI: 10.1007/s12065-022-00708-z

    • 4、Grey wolf optimization algorithm based on dynamically adjusting inertial weight and levy flight strategy

      Author: Chen, Yehua; Xi, Junfu; Wang, Haibin; Liu, Xia

      Journal: EVOLUTIONARY INTELLIGENCE. 2023; Vol. 16, Issue 3, pp. 917-927. DOI: 10.1007/s12065-022-00705-2

    • 5、Communication efficiency optimization in federated learning based on multi-objective evolutionary algorithm

      Author: Chai, Zheng-yi; Yang, Chuan-dong; Li, Ya-lun

      Journal: EVOLUTIONARY INTELLIGENCE. 2023; Vol. 16, Issue 3, pp. 1033-1044. DOI: 10.1007/s12065-022-00718-x

    • 6、Track and field training state analysis based on acceleration sensor and deep learning

      Author: Zhang, Yong

      Journal: EVOLUTIONARY INTELLIGENCE. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s12065-022-00811-1

    • 7、A large-scale global optimization algorithm with a new adaptive computing resource allocation mechanism

      Author: Bao, Xuefan; Wei, Fei; Liang, Fei

      Journal: EVOLUTIONARY INTELLIGENCE. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s12065-023-00818-2

    • 8、Improved ant colony algorithm in path planning of a single robot and multi-robots with multi-objective

      Author: Pu, Xingcheng; Song, Xinlin; Tan, Ling; Zhang, Yi

      Journal: EVOLUTIONARY INTELLIGENCE. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s12065-023-00821-7

    投稿常見問題

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