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Evolutionary IntelligenceSCIE

国际简称：EVOL INTELL 参考译名：进化智能

CiteScore分区
Q1
JCR分区
Q3

基本信息：: ISSN：1864-5909; E-ISSN：1864-5917; 是否OA：未开放; 是否预警：否

出版信息：: 出版商：Springer Nature; 出版语言：English; 出版周期：4 issues per year; 研究方向：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

评价信息：: 影响因子：2.3; CiteScore指数：6.8; SJR指数：0.64; SNIP指数：0.99

发文数据：: Gold OA文章占比：3.27%; 研究类文章占比：97.53%; 年发文量：81

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英文简介期刊介绍 CiteScore数据 JCR分区发文数据常见问题

英文简介Evolutionary Intelligence期刊介绍

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.

期刊简介Evolutionary Intelligence期刊介绍

《Evolutionary Intelligence》该刊近一年未被列入预警期刊名单，目前已被权威数据库SCIE收录，得到了广泛的认可。

该期刊投稿重要关注点：

预计审稿时间：
SCIE
非预警

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

CiteScore：6.8
SJR：0.638
SNIP：0.992

学科类别	分区	排名	百分位
大类：Mathematics 小类：Mathematics (miscellaneous)	Q1	4 / 90	96%
大类：Mathematics 小类：Cognitive Neuroscience	Q1	29 / 115	75%
大类：Mathematics 小类：Computer Vision and Pattern Recognition	Q2	28 / 106	74%
大类：Mathematics 小类：Artificial Intelligence	Q2	112 / 350	68%

CiteScore 是由Elsevier(爱思唯尔)推出的另一种评价期刊影响力的文献计量指标。反映出一家期刊近期发表论文的年篇均引用次数。CiteScore以Scopus数据库中收集的引文为基础，针对的是前四年发表的论文的引文。CiteScore的意义在于，它可以为学术界提供一种新的、更全面、更客观地评价期刊影响力的方法，而不仅仅是通过影响因子(IF)这一单一指标来评价。

历年Cite Score趋势图

JCR分区Evolutionary Intelligence JCR分区

2023-2024 年最新版

按JIF指标学科分区	收录子集	分区	排名	百分位
学科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	ESCI	Q3	116 / 197	41.4%

按JCI指标学科分区	收录子集	分区	排名	百分位
学科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	ESCI	Q3	135 / 198	32.07%

JCR分区的优势在于它可以帮助读者对学术文献质量进行评估。不同学科的文章引用量可能存在较大的差异，此时单独依靠影响因子(IF)评价期刊的质量可能是存在一定问题的。因此，JCR将期刊按照学科门类和影响因子分为不同的分区，这样读者可以根据自己的研究领域和需求选择合适的期刊。

历年影响因子趋势图

本刊中国学者近年发表论文

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