摘要
The main goal of routing solutions is to satisfy the requirements of the Quality of Service (QoS) for every admitted connection as well as to achieve a global efficiency in resource utilization.In this paper proposes a solution based on Hopfield neural network (HNN) to deal with one of representative routing problems in uni-cast routing,i.e.the multi-constrained(MC) routing problem.Computer simulation shows that we can obtain the optimal path very rapidly with our new Lyapunov energy functions.
基金
This workis supported by National Natural Science Foundationof China ( No.60277022)
Outstanding Youth Foundation ofHenan Province , Natural Science Foundation of Tianjin( No.023800811)
the Research Fund for the Doctoral Program ofHigher education(No.20030055022)
The Project-sponsored bySRFfor ROCS,SEM.
