Swarm Intelligence

雜志介紹

Swarm Intelligence雜志介紹

《Swarm Intelligence》是一本以English為主的未開放獲取國際優秀期刊，中文名稱群體智能，本刊主要出版、報道計算機科學-COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE領域的研究動態以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業的最新進展，探討行業發展的思路和方法，以促進學術信息交流，提高行業發展。該刊已被國際權威數據庫SCIE收錄，為該領域相關學科的發展起到了良好的推動作用，也得到了本專業人員的廣泛認可。該刊最新影響因子為2.1，最新CiteScore 指數為5.7。

本刊近期中國學者發表的論文主要有：

• Long-term pattern formation and maintenance for battery-powered robots

  Author: Guannan Li, Ivan Svogor, Giovanni Beltrame

• Behaviour Based Coverage Controller

  Author: oyekanjohn

• Behaviour Based Coverage Controller

  Author: oyekanjohn

英文介紹

Swarm Intelligence雜志英文介紹

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.