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.

《群体智能》是一份主要的同行评议出版物，专门报道群体智能多学科领域的研究和发展。该期刊发表关于群体智能理论、实验和/或实践方面的原创研究文章和偶尔的评论文章。所有文章均以印刷版和电子版形式出版。出版不收取版面费。《群体智能》每季度出版一次。群体智能领域涉及由许多个体组成的系统，这些个体使用分散控制和自组织进行协调。特别是，它关注的是集体行为，这些行为是由个体之间以及与环境之间的局部互动产生的。它是一个快速发展的领域，涵盖了多个学科研究人员的努力，从动物行为学和社会科学到运筹学和计算机工程。群体智能将报告对群体智能系统的理解和利用方面的进展，即基于群体智能原理的系统。

本期刊特别关注以下主题：

• 集体生物系统的建模和分析，例如社会性昆虫群落、群集

脊椎动物和人类群体以及任何其他群体智能系统；

• 生物群体智能模型在现实世界问题中的应用，例如分布式

计算、数据聚类、图形分区、优化和决策；

• 蚁群优化、粒子群优化、

群体机器人和其他群体智能算法的理论和实证研究。

该刊已被国际权威数据库SCIE收录，该刊致力于发表经过严格同行评审的高质量原创文章，反映COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-ROBOTICS领域的新进展、新技术、新成果，促进该领域科研交流和科研成果转化。该刊2023年影响因子为2.1，平均审稿速度为 12周，或约稿 ，近四年来没有被列入预警名单。如果您需要投稿发表服务及指导，可以联系我们的客服老师，我们专业专注服务期刊投稿协助10年，为您提供期刊投稿个性化定制服务，并且我们确保严格保密您的个人信息及稿件内容。