Swarm Intelligence is the principal peer reviewed publication dedicated to reporting research and new developments in this multidisciplinary field. The journal publishes original research articles and occasional reviews on theoretical, experimental, and practical aspects of swarm intelligence. It offers readers reports on advances in the understanding and utilization of systems that are based on the principles of swarm intelligence.
Emphasis is given to such topics as the modeling and analysis of collective biological systems; application of biological swarm intelligence models to real-world problems; and theoretical and empirical research in ant colony optimization, particle swarm optimization, swarm robotics, and other swarm intelligence algorithms. Articles often combine experimental and theoretical work.
Bernd Meyer (June 2017)
An investigation of clustering strategies in many-objective optimization: the I-Multi algorithm as a case study
The impact of agent density on scalability in collective systems: noise-induced versus majority-based bistability
- Journal Title
- Swarm Intelligence
- Volume 1 / 2007 - Volume 11 / 2017
- Print ISSN
- Online ISSN
- Springer US
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