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Swarm and Evolutionary Computation 2023年12月最新中科院分区表数据已经更新!2024年预审已开通,评估通过后包通过,欢迎咨询!
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Swarm and Evolutionary Computation
期刊名:

Swarm and Evolutionary Computation

期刊名缩写:SWARM EVOL COMPUT (此期刊被最新的JCR期刊SCIE收录)

期刊收录信息: SCIE Scopus收录

信息更新时间:2023年12月
  • 影响因子: 10
  • 出版国家或地区: NETHERLANDS
  • 期刊ISSN: 2210-6502
  • 出版商: Elsevier BV
  • E-ISSN:
  • 出版周期:
  • JCR分区: Q1
  • 出版语言: English
  • 自引率: 12.00%
  • 出版年份: 0
  • 是否OA开放访问: NO
  • 期刊官方网站: http://www.journals.elsevier.com/swarm-and-evolutionary-computation/
  • 年文章数: 173
  • 期刊投稿网址: https://www.editorialmanager.com/SWEVO
  • Gold OA文章占比: 3.87%
  • 通讯方式: RADARWEG 29, AMSTERDAM, NETHERLANDS, 1043 NX
  • 期刊导读: 《Swarm and Evolutionary Computation》杂志,2023年发布的影响因子为:10 ,中科院分区:1区,JCR分区:Q1,该期刊是由 NETHERLANDS, Elsevier BV 出版的计算机科学类学术期刊,主要刊载计算机科学相关领域的原创研究文章和评论文章,该期刊目前收录在 【SCIE】 【Scopus收录】 等数据库,平均审稿速度(),平均录用比例() 123学术网专业SCI论文编辑服务(包括SCI论文英语润色,同行资深专家修改润色,SCI论文专业翻译,SCI论文格式排版,专业学术制图,发表等)帮助作者准备稿件,如自行投稿请联系《Swarm and Evolutionary Computation》杂志官方:http://www.journals.elsevier.com/swarm-and-evolutionary-computation/,《Swarm and Evolutionary Computation》通讯地址为:RADARWEG 29, AMSTERDAM, NETHERLANDS, 1043 NX。详细的期刊简介下拉到底部查看!
《Swarm and Evolutionary Computation》JCR分区:Q1
按学科分区 JIF分区 JIF排名 JIF百分位

学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

分类:SCIE

Q1 15/145
90.0%

学科:COMPUTER SCIENCE, THEORY & METHODS

分类:SCIE

Q1 7/111
94.1%
中科院《国际期刊预警名单(试行)》名单
2023年01月发布的2023版:不在预警名单中

2021年12月发布的2021版:不在预警名单中

2021年01月发布的2020版:不在预警名单中

《国际期刊预警名单(试行)》2023版共计包含28本期刊(查看


《国际期刊预警名单(试行)》2021版共计包含35本期刊(查看


《国际期刊预警名单(试行)》2020版共计包含65本期刊(查看

《Swarm and Evolutionary Computation》中科院SCI期刊分区

2023年12月最新升级版:

大类学科 小类学科 Top 综述期刊
计算机科学 1区

COMPUTER SCIENCE, THEORY & METHODS 计算机:理论方法

1区

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能

2区
NO NO

2022年12月升级版:

大类学科 小类学科 Top 综述期刊
计算机科学 1区

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能

1区

COMPUTER SCIENCE, THEORY & METHODS 计算机:理论方法

1区
YES NO
《Swarm and Evolutionary Computation》期刊简介
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.