Data networks
Competitive routing in multiuser communication networks
IEEE/ACM Transactions on Networking (TON)
On the existence of equilibria in noncooperative optimal flow control
Journal of the ACM (JACM)
Ant-based load balancing in telecommunications networks
Adaptive Behavior
Asynchronous Stochastic Approximations
SIAM Journal on Control and Optimization
Routing in telecommunications networks with ant-like agents
IATA '98 Proceedings of the second international workshop on Intelligent agents for telecommunication applications
Ant algorithms for discrete optimization
Artificial Life
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
From Natural to Artificial Swarm Intelligence
From Natural to Artificial Swarm Intelligence
Neuro-Dynamic Programming
SIAM Journal on Control and Optimization
Ant Colony Optimization
Optimal Routing in a Packet-Switched Computer Network
IEEE Transactions on Computers
Dynamic Programming and Optimal Control, Vol. II
Dynamic Programming and Optimal Control, Vol. II
AntNet: distributed stigmergetic control for communications networks
Journal of Artificial Intelligence Research
Ant colony optimization for routing and load-balancing: survey and new directions
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A Scalable Formal Framework for Analyzing the Behavior of Nature-Inspired Routing Protocols
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Convergence results for ant routing algorithms viastochastic approximation
Proceedings of the 13th ACM international conference on Hybrid systems: computation and control
Agent-based load balancing routing for LEO satellite networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Analysis of ant-based routing with wireless medium access control
ANTS'12 Proceedings of the 8th international conference on Swarm Intelligence
A sociologically inspired heuristic for optimization algorithms: A case study on ant systems
Expert Systems with Applications: An International Journal
Convergence results for ant routing algorithms via stochastic approximation
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
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In this paper, we introduce an analytic modelling approach to the study of a novel class of adaptive network routing algorithm, which is inspired by the emergent problem-solving behaviours observed in biological ant colonies. This class of algorithm utilizes ''ant-like'' agents which traverse the network and collectively construct routing policies. Previous studies have focused exclusively on simulation experiments, which indicate that such algorithms perform well in response to real-time changes in traffic demands and network conditions. The analytic model presented in this paper permits useful insights into certain fundamental aspects of ant-based algorithms, which have not been discussed in previous ant-based routing literature. In particular, the work presented in this paper motivates our proposal of a number of modifications to the basic design of ant-based routing algorithms, which result in improved performance with respect to equilibrium performance measures.