Abstract
Swarm intelligence can provide robust, adaptable, scalable solutions to difficult problems. The distributed nature of swarm activity is the basis of these desirable qualities, but it also prevents swarm-based techniques from having direct access to global knowledge that could facilitate the task at hand. Our experiments indicate that a swarm system can use an auxiliary swarm, called a communication swarm, to create and distribute an approximation of useful global knowledge, without sacrificing robustness, adaptability, and scalability. We describe a communication swarm and validate its effectiveness on a simple problem.
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Majercik, S.M. (2012). Initial Experiments in Using Communication Swarms to Improve the Performance of Swarm Systems. In: Kuipers, F.A., Heegaard, P.E. (eds) Self-Organizing Systems. IWSOS 2012. Lecture Notes in Computer Science, vol 7166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28583-7_12
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DOI: https://doi.org/10.1007/978-3-642-28583-7_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28582-0
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