Communications of the ACM
Illustrating evolutionary computation with Mathematica
Illustrating evolutionary computation with Mathematica
Swarm intelligence
Information-driven phase changes in multi-agent coordination
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Transformation of fuzzy state space model of a boiler system: a graph theoretic approach
WSEAS Transactions on Mathematics
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Mobile ad-hoc networks have been deployed in various scenarios, but their scalability is severely restricted by the human operators' ability to configure and manage the network in the face of rapid change of the network structure and demand patterns. In this paper, we present a self-organizing approach to MANET management which have AI in their nodes that follows general principles of engineering for communicating between each other.