当前位置：首页 SCI期刊 SCIE期刊计算机科学中科院1区 JCRQ1 期刊介绍(非官网)

Swarm And Evolutionary ComputationSCIE

国际简称：SWARM EVOL COMPUT 参考译名：群体和进化计算

中科院分区
1区
CiteScore分区
Q1
JCR分区
Q1

基本信息：: ISSN：2210-6502; E-ISSN：2210-6510; 是否OA：未开放; 是否预警：否; TOP期刊：是

出版信息：: 出版地区：NETHERLANDS; 出版商：Elsevier BV; 出版语言：English; 出版周期：6 issues/year; 出版年份：2011; 研究方向：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, THEORY & METHODS

评价信息：: 影响因子：8.2; H-index：43; CiteScore指数：16; SJR指数：2.266; SNIP指数：2.352

发文数据：: Gold OA文章占比：5.86%; 研究类文章占比：100.00%; 年发文量：163; 自引率：0.12; 开源占比：0.0387; 出版撤稿占比：; 出版国人文章占比：0; OA被引用占比：0.0269...

投稿咨询加急见刊

英文简介期刊介绍 CiteScore数据中科院SCI分区 JCR分区发文数据常见问题

英文简介Swarm And Evolutionary Computation期刊介绍

Swarm and Evolutionary Computation is the first peer-reviewed publication of its kind that aims at reporting the most recent research and developments in the area of nature-inspired intelligent computation based on the principles of swarm and evolutionary algorithms. It publishes advanced, innovative and interdisciplinary research involving the theoretical, experimental and practical aspects of the two paradigms and their hybridizations. Swarm and Evolutionary Computation is committed to timely publication of very high-quality, peer-reviewed, original articles that advance the state-of-the art of all aspects of evolutionary computation and swarm intelligence. Survey papers reviewing the state-of-the-art of timely topics will also be welcomed as well as novel and interesting applications.

Topics of interest include but are not limited to: Genetic Algorithms, and Genetic Programming, Evolution Strategies, and Evolutionary Programming, Differential Evolution, Artificial Immune Systems, Particle Swarms, Ant Colony, Bacterial Foraging, Artificial Bees, Fireflies Algorithm, Harmony Search, Artificial Life, Digital Organisms, Estimation of Distribution Algorithms, Stochastic Diffusion Search, Quantum Computing, Nano Computing, Membrane Computing, Human-centric Computing, Hybridization of Algorithms, Memetic Computing, Autonomic Computing, Self-organizing systems, Combinatorial, Discrete, Binary, Constrained, Multi-objective, Multi-modal, Dynamic, and Large-scale Optimization.

期刊简介Swarm And Evolutionary Computation期刊介绍

《Swarm And Evolutionary Computation》自2011出版以来，是一本计算机科学优秀杂志。致力于发表原创科学研究结果，并为计算机科学各个领域的原创研究提供一个展示平台，以促进计算机科学领域的的进步。该刊鼓励先进的、清晰的阐述，从广泛的视角提供当前感兴趣的研究主题的新见解，或审查多年来某个重要领域的所有重要发展。该期刊特色在于及时报道计算机科学领域的最新进展和新发现新突破等。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：
国际TOP期刊
计算机科学
COMPUTER SCIENCE, THEORY & METHODS
SCIE
中科院1区
非预警

Cite Score数据（2024年最新版）Swarm And Evolutionary Computation Cite Score数据

CiteScore：16
SJR：2.266
SNIP：2.352

学科类别	分区	排名	百分位
大类：Mathematics 小类：General Mathematics	Q1	3 / 399	99%
大类：Mathematics 小类：General Computer Science	Q1	11 / 232	95%

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

中科院SCI分区Swarm And Evolutionary Computation 中科院分区

中科院 2023年12月升级版 综述期刊：否 Top期刊：否

大类学科	分区	小类学科	分区
计算机科学	1区	COMPUTER SCIENCE, THEORY & METHODS 计算机：理论方法 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能	1区 2区

中科院分区表 是以客观数据为基础，运用科学计量学方法对国际、国内学术期刊依据影响力进行等级划分的期刊评价标准。它为我国科研、教育机构的管理人员、科研工作者提供了一份评价国际学术期刊影响力的参考数据，得到了全国各地高校、科研机构的广泛认可。

中科院分区表 将所有期刊按照一定指标划分为1区、2区、3区、4区四个层次，类似于“优、良、及格”等。最开始，这个分区只是为了方便图书管理及图书情报领域的研究和期刊评估。之后中科院分区逐步发展成为了一种评价学术期刊质量的重要工具。

历年中科院分区趋势图

JCR分区Swarm And Evolutionary Computation 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	SCIE	Q1	19 / 197	90.6%
学科：COMPUTER SCIENCE, THEORY & METHODS	SCIE	Q1	9 / 143	94.1%

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	SCIE	Q1	19 / 198	90.66%
学科：COMPUTER SCIENCE, THEORY & METHODS	SCIE	Q1	9 / 143	94.06%

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、An efficient Bayesian network structure learning algorithm based on structural information
Author: Fang, Wei; Zhang, Weijian; Ma, Li; Wu, Yunlin; Yan, Kefei; Lu, Hengyang; Sun, Jun; Wu, Xiaojun; Yuan, Bo

Journal: SWARM AND EVOLUTIONARY COMPUTATION. 2023; Vol. 76, Issue , pp. -. DOI: 10.1016/j.swevo.2022.101224
2、Incorporating Surprisingly Popular Algorithm and Euclidean distance-based adaptive topology into PSO
Author: Wu, Xuan; Han, Jizong; Wang, Di; Gao, Pengyue; Cui, Quanlong; Chen, Liang; Liang, Yanchun; Huang, Han; Lee, Heow Pueh; Miao, Chunyan; Zhou, You; Wu, Chunguo

Journal: SWARM AND EVOLUTIONARY COMPUTATION. 2023; Vol. 76, Issue , pp. -. DOI: 10.1016/j.swevo.2022.101222
3、A reference vector based multiobjective evolutionary algorithm with Q-learning for operator adaptation
Author: Jiao, Keming; Chen, Jie; Xin, Bin; Li, Li

Journal: SWARM AND EVOLUTIONARY COMPUTATION. 2023; Vol. 76, Issue , pp. -. DOI: 10.1016/j.swevo.2022.101225
4、Invasive weed optimization for multi-AGVs dispatching problem in a matrix manufacturing workshop
Author: Li, Zhong-Kai; Sang, Hong-Yan; Li, Jun-Qing; Han, Yu-Yan; Gao, Kai-Zhou; Zheng, Zhi-Xin; Liu, Li-li

Journal: SWARM AND EVOLUTIONARY COMPUTATION. 2023; Vol. 77, Issue , pp. -. DOI: 10.1016/j.swevo.2023.101227
5、Explicit and size-adaptive PSO-based feature selection for classification
Author: Qu, Litao; He, Weibin; Li, Jianfei; Zhang, Hua; Yang, Cheng; Xie, Bo

Journal: SWARM AND EVOLUTIONARY COMPUTATION. 2023; Vol. 77, Issue , pp. -. DOI: 10.1016/j.swevo.2023.101249
6、Deep reinforcement learning method for satellite range scheduling problem
Author: Ou, Junwei; Xing, Lining; Yao, Feng; Li, Mengjun; Lv, Jimin; He, Yongming; Song, Yanjie; Wu, Jian; Zhang, Guoting

Journal: SWARM AND EVOLUTIONARY COMPUTATION. 2023; Vol. 77, Issue , pp. -. DOI: 10.1016/j.swevo.2023.101233
7、A many-objective evolutionary algorithm based on constraints for collaborative computation offloading
Author: Cui, Zhihua; Xue, Zhaoyu; Fan, Tian; Cai, Xingjuan; Zhang, Wensheng

Journal: SWARM AND EVOLUTIONARY COMPUTATION. 2023; Vol. 77, Issue , pp. -. DOI: 10.1016/j.swevo.2023.101244
8、Decomposition-based multi-objective evolutionary algorithm for virtual machine and task joint scheduling of cloud computing in data space
Author: Wang, Xianpeng; Lou, Hangyu; Dong, Zhiming; Yu, Chentao; Lu, Renquan

Journal: SWARM AND EVOLUTIONARY COMPUTATION. 2023; Vol. 77, Issue , pp. -. DOI: 10.1016/j.swevo.2023.101230