An Efficient Dynamic Algorithm for Maintaining All-Pairs Shortest Paths in Stochastic Networks
IEEE Transactions on Computers
On-line resources allocation for ATM networks with rerouting
Computers and Operations Research
IEEE Transactions on Computers
A comprehensive solution to ATM network planning and bandwidth management using Genetic Algorithm
International Journal of Information and Communication Technology
Minimizing hierarchical routing error
Computer Networks: The International Journal of Computer and Telecommunications Networking
LACAS: learning automata-based congestion avoidance scheme for healthcare wireless sensor networks
IEEE Journal on Selected Areas in Communications - Special issue on wireless and pervasive communications for healthcare
Fuzzy neural control for economic-driven radio resource management in beyond 3G networks
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Modeling a student-classroom interaction in a tutorial-like system using learning automata
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Modeling a domain in a tutorial-like system using learning automata
Acta Cybernetica
A learning automata-based fault-tolerant routing algorithm for mobile ad hoc networks
The Journal of Supercomputing
Modeling a teacher in a tutorial-like system using learning automata
Transactions on Computational Collective Intelligence VIII
The fuzzy based QMPR selection for OLSR routing protocol
Wireless Networks
Reinforcement learning based routing in wireless mesh networks
Wireless Networks
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In this paper, the use of a computational intelligence approach -a reinforcement learning algorithm (RLA)-for optimizing the routing in asynchronous transfer mode (ATM) networks based on the private network-to-network interface (PNNI) standard is proposed. This algorithm which is specially designed for the quality of service (QoS) routing problem, aims at maximizing the network revenue (allocating efficiently the network resources) while ensuring the QoS requirements for each connection. In this study, large-scale networks are considered where it becomes necessary to be organized hierarchically so that a scale in terms of computation, communication and storage requirements will be achieved. A comparative performance study of the proposed and other commonly used routing schemes is demonstrated by means of simulation on existing commercial networks. Simulation results over a wide range of uniform, time-varying and skewed loading conditions show the effectiveness of the proposed routing algorithm, and disclose the strength and weakness of the various schemes.