First published 2 September 2013
Cooperation of two different swarms controlled by BEECLUST algorithm
Tobias Meister, Ronald Thenius, Daniela Kengyel, Thomas Schmickl
In this work we investigate how two autonomous agent swarms, controlled by the BEECLUST algorithm are able to cooperate. The task is to locate two different target areas, which are located near each other. Therefore we developed an individual-based NetLogo model to simulate two different agent swarms moving in a temperature gradient. Both agent swarms are controlled by the BEECLUST algorithm, which is inspired by honeybee behavior. We found out that the two cooperating agent swarms are able to locate the target areas, independent of the ratio of the agents.