Evolutionary Game Theory with
		   Applications to Adaptive Routing

		  Simon Fischer and Berthold Vöcking

One of the most important problems in large communication networks
like the Internet is the problem of routing traffic through the
network.  Current Internet technology based on the TCP protocol does
not route traffic adaptively to the injection rates but uses fixed
end-to-end routes and adjusts only the injection rates in order to
avoid congestion. A more flexible approach uses load-adaptive
rerouting policies that reconsider their routing strategies from time
to time depending on the current network traffic.  In this manuscript,
we survey recent results from [FV04] and [FV05] about the application
of methods from evolutionary game theory to such an adaptive traffic
management.

Key words: Evolutionary game theory, Wardrop model, adaptive
routing, stale information, analysis and dynamics of complex networks