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2021年最新SCI期刊影响因子查询系统

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Swarm Intelligence 期刊详细信息

基本信息
期刊名称 Swarm Intelligence
Swarm Intelligence
期刊ISSN 1935-3812
期刊官方网站 http://link.springer.com/journal/11721
是否OA
出版商 Springer New York
出版周期
始发年份
年文章数 15
最新影响因子 3.727(2021)
中科院SCI期刊分区
大类学科 小类学科 Top 综述
工程技术3区 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能3区
ROBOTICS 机器人学4区
CiteScore
CiteScore排名 CiteScore SJR SNIP
学科 排名 百分位 3.82 0.511 2.042
Computer Science
Artificial Intelligence
39 / 189 79%
补充信息
自引率 13.20%
H-index 24
SCI收录状况 Science Citation Index Expanded
官方审稿时间
Submission to first decision 38 days
网友分享审稿时间 数据统计中,敬请期待。
PubMed Central (PML) http://www.ncbi.nlm.nih.gov/nlmcatalog?term=1935-3812%5BISSN%5D
投稿指南
期刊投稿网址 https://www.editorialmanager.com/swrm/default.aspx
收稿范围
Swarm Intelligence is the principal peer-reviewed publication dedicated to reporting on research
and developments in the multidisciplinary field of swarm intelligence. The journal publishes
original research articles and occasional review articles on theoretical, experimental and/or
practical aspects of swarm intelligence. All articles are published both in print and in electronic
form. There are no page charges for publication. Swarm Intelligence is published quarterly.
The field of swarm intelligence deals with systems composed of many individuals that coordinate
using decentralized control and self-organization. In particular, it focuses on the collective
behaviors that result from the local interactions of the individuals with each other and with their
environment. It is a fast-growing field that encompasses the efforts of researchers in multiple
disciplines, ranging from ethology and social science to operations research and computer
engineering.
Swarm Intelligence will report on advances in the understanding and utilization of swarm
intelligence systems, that is, systems that are based on the principles of swarm intelligence. The
following subjects are of particular interest to the journal:
• modeling and analysis of collective biological systems such as social insect colonies, flocking
vertebrates, and human crowds as well as any other swarm intelligence systems;
• application of biological swarm intelligence models to real-world problems such as distributed
computing, data clustering, graph partitioning, optimization and decision making;
• theoretical and empirical research in ant colony optimization, particle swarm optimization,
swarm robotics, and other swarm intelligence algorithms.
Articles that combine experimental and theoretical work are especially welcome.
Swarm Intelligence is the main journal in the field of Swarm Intelligence. The Editor in Chief,
Marco Dorigo is one of the most notable researchers in the field of Swarm Intelligence. Dr. Dorigo
pioneered the use of Swarm Intelligence within the operations research and telecommunications
fields. Other notable researchers of Swarm Intelligence that serve of the journal’s editorial board
are Gerardo Beni (the originator of the term); Luca Maria Gambardella (worked closely with
Dr. Dorigo and has made notable contributions to the field) and James Kennedy (best known as
an originator and researcher of particle swarm optimization).
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