Swarm Intelligence（群体智能杂志）影响因子_期刊投稿发表

期刊简介

Swarm Intelligence is the principal peer-reviewed publication dedicated to reporting on researchand developments in the multidisciplinary field of swarm intelligence. The journal publishesoriginal research articles and occasional review articles on theoretical, experimental and/orpractical aspects of swarm intelligence. All articles are published both in print and in electronicform. 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 coordinateusing decentralized control and self-organization. In particular, it focuses on the collectivebehaviors that result from the local interactions of the individuals with each other and with theirenvironment. It is a fast-growing field that encompasses the efforts of researchers in multipledisciplines, ranging from ethology and social science to operations research and computerengineering.Swarm Intelligence will report on advances in the understanding and utilization of swarmintelligence systems, that is, systems that are based on the principles of swarm intelligence. Thefollowing subjects are of particular interest to the journal:• modeling and analysis of collective biological systems such as social insect colonies, flockingvertebrates, and human crowds as well as any other swarm intelligence systems;• application of biological swarm intelligence models to real-world problems such as distributedcomputing, 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.

《群智能》是一份主要的同行评审出版物，致力于报道群智能多学科领域的研究和发展。该杂志发表了篇原创研究文章和篇关于群体智能理论、实验和/或实践方面的评论文章。所有文章均以印刷和电子形式发表。出版物不收取页面费用。群体智能是一个季刊。群体智能的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，它关注的是个体之间以及个体与环境之间的局部互动所产生的集体行为。这是一个快速发展的领域，涵盖了多个学科的研究人员的努力，从行为学和社会科学到运筹学和计算机工程。群体智能将报告在理解和利用群体智能系统方面的进展，即基于群体智能原理的系统。以下主题是该杂志特别感兴趣的：·集体生物系统的建模和分析，如社会性昆虫群体，成群的脊椎动物，人群以及任何其他群体智能系统;·将生物群体智能模型应用于现实世界中的问题，如分布式计算、数据聚类、图形划分、优化和决策;·在蚁群优化、粒子群优化、群体机器人和其他群体智能算法方面的理论和经验研究。

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