Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Ant Colonies for Adaptive Routing in Packet-Switched Communications Networks
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Mobile Agents for Adaptive Routing
HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences-Volume 7 - Volume 7
Fuzzy control of two-station queueing networks with two types of customers
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
A fuzzy approach to the flow control problem
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
AntNet: distributed stigmergetic control for communications networks
Journal of Artificial Intelligence Research
Fuzzy service control of queueing systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A survey of recent advances in fuzzy logic in telecommunications networks and new challenges
IEEE Transactions on Fuzzy Systems
Fuzzy control of queueing systems with heterogeneous servers
IEEE Transactions on Fuzzy Systems
Admission control and scheduling in simple series parallel networks using fuzzy logic
IEEE Transactions on Fuzzy Systems
IEEE Network: The Magazine of Global Internetworking
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Swarm intelligence, as demonstrated by a natural biological swarm, such as an ant colony, has many powerful properties that are desirable for effective routing in communications networks. In this paper, we propose an intelligent routing algorithm that we are calling Fuzzy Logic Ant-based Routing (FLAR), which is inspired by ant colonies and enhanced by fuzzy logic techniques. Using a fuzzy system as an intelligent and expert mechanism allows multiple constraints to be considered in a simple and intuitive way. Simulation results and a comparison of the proposed method with two state-of-the-art routing algorithms show better performance and a higher fault tolerance for our approach, particularly in regard to link failures.