Routing Control in Packet Switched Networks using Soft Computing Techniques.

This chapter describes the joint application of two soft computing methods, evolutionary algorithms and fuzzy reasoning, to the problem of adaptive distributed routing control in packet-switched communication networks. In this problem, a collection of geographically distributed routing nodes are required to adaptively route data packets so as to minimize mean network packet delay. Nodes reach routing decisions locally using state measurements which are delayed and necessarily only available at discrete sampling intervals.