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Evolutionary Intelligence

Evolutionary IntelligenceSCIE

國際簡稱:EVOL INTELL  參考譯名:進化智能

  • CiteScore分區

    Q1

  • JCR分區

    Q3

基本信息:
ISSN:1864-5909
E-ISSN:1864-5917
是否OA:未開放
是否預警: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
評價信息:
影響因子:2.3
CiteScore指數:6.8
SJR指數:0.64
SNIP指數:0.99
發文數據:
Gold OA文章占比:3.27%
研究類文章占比:97.53%
年發文量:81
英文簡介 期刊介紹 CiteScore數據 JCR分區 發文數據 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警期刊名單,目前已被權威數據庫SCIE收錄,得到了廣泛的認可。

該期刊投稿重要關注點:

  • 預計審稿時間:
  • SCIE
  • 非預警

Cite Score數據(2024年最新版)Evolutionary Intelligence Cite Score數據

  • CiteScore:6.8
  • SJR:0.638
  • SNIP:0.992
學科類別 分區 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)推出的另一種評價期刊影響力的文獻計量指標。反映出一家期刊近期發表論文的年篇均引用次數。CiteScore以Scopus數據庫中收集的引文為基礎,針對的是前四年發表的論文的引文。CiteScore的意義在于,它可以為學術界提供一種新的、更全面、更客觀地評價期刊影響力的方法,而不僅僅是通過影響因子(IF)這一單一指標來評價。

歷年Cite Score趨勢圖

JCR分區Evolutionary Intelligence JCR分區

2023-2024 年最新版
按JIF指標學科分區 收錄子集 分區 排名 百分位
學科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ESCI Q3 116 / 197

41.4%

按JCI指標學科分區 收錄子集 分區 排名 百分位
學科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ESCI Q3 135 / 198

32.07%

JCR分區的優勢在于它可以幫助讀者對學術文獻質量進行評估。不同學科的文章引用量可能存在較大的差異,此時單獨依靠影響因子(IF)評價期刊的質量可能是存在一定問題的。因此,JCR將期刊按照學科門類和影響因子分為不同的分區,這樣讀者可以根據自己的研究領域和需求選擇合適的期刊。

歷年影響因子趨勢圖

本刊中國學者近年發表論文

  • 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