@Article{, title={Distributed Multi-Ant Colony System Algorithm using Raspberry Pi Cluster for Travelling Salesman Problem}, author={Mustafa Muwafak Alobaedy and Ali A. Khalaf2, Yousef Fazea}, journal={Iraqi Journal of Science المجلة العراقية للعلوم}, volume={63}, number={9}, pages={4067-4078}, year={2022}, abstract={The traveling salesman problem is addressed in this paper by introducing adistributed multi-ant colony algorithm that is implemented on a Raspberry Pi cluster.The implementation of a master and eight workers, each running on Raspberry Pinodes, is the central component of this novel technique. Each worker is responsiblefor managing their own colony of ants, while the master coordinatescommunications among workers’ nodes and assesses the most optimal approach. Toput the newly built cluster through its paces, several datasets of traveling salesmanproblem are used to test the created cluster. The findings of the experiment indicatethat a single board computer cluster, which makes use of multi-ant colony algorithm,is a viable alternative for distributed computing. This approach's extensibilityoptions are extensively discussed as well.

} }