国际简称:SWARM INTELL-US 参考译名:群体智能
主要研究方向:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-ROBOTICS 非预警期刊 审稿周期: 12周,或约稿
《群体智能》(Swarm Intelligence)是一本由Springer US出版的以COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-ROBOTICS为研究特色的国际期刊,发表该领域相关的原创研究文章、评论文章和综述文章,及时报道该领域相关理论、实践和应用学科的最新发现,旨在促进该学科领域科学信息的快速交流。该期刊是一本未开放期刊,近三年没有被列入预警名单。
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.
CiteScore | SJR | SNIP | CiteScore 指数 | ||||||||
5.7 | 0.681 | 1.212 |
|
名词解释:CiteScore 是衡量期刊所发表文献的平均受引用次数,是在 Scopus 中衡量期刊影响力的另一个指标。当年CiteScore 的计算依据是期刊最近4年(含计算年度)的被引次数除以该期刊近四年发表的文献数。例如,2022年的 CiteScore 计算方法为:2022年的 CiteScore =2019-2022年收到的对2019-2022年发表的文件的引用数量÷2019-2022年发布的文献数量 注:文献类型包括:文章、评论、会议论文、书籍章节和数据论文。
Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
否 | 否 | 计算机科学 | 4区 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 ROBOTICS 机器人学 | 4区 4区 |
Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
否 | 否 | 计算机科学 | 3区 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 ROBOTICS 机器人学 | 4区 4区 |
Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
否 | 否 | 计算机科学 | 3区 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 ROBOTICS 机器人学 | 3区 4区 |
Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
否 | 否 | 工程技术 | 4区 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 ROBOTICS 机器人学 | 4区 4区 |
Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
否 | 否 | 计算机科学 | 3区 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 ROBOTICS 机器人学 | 3区 4区 |
Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
否 | 否 | 计算机科学 | 2区 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 ROBOTICS 机器人学 | 3区 3区 |
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 | Q3 | 123 / 197 |
37.8% |
学科:ROBOTICS | SCIE | Q3 | 28 / 46 |
40.2% |
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 | Q2 | 83 / 198 |
58.33% |
学科:ROBOTICS | SCIE | Q2 | 22 / 46 |
53.26% |
Author: Guannan Li, Ivan Svogor, Giovanni Beltrame
Journal: Swarm Intelligence, 2019, Vol.13, 21-57, DOI:10.1007/s11721-019-00162-1
Author: oyekanjohn
Journal: Swarm Intelligence, 2016.
Author: oyekanjohn
Journal: Swarm Intelligence, 2016.
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