A Multiagent Evolutionary Algorithm for Minimizing Network Coding Resource in Dynamic Environment

摘要

This paper investigates the network coding resource minimization problem in the context of dynamic network environment. As a combination of multiagent systems and evolutionary algorithm, multiagent evolutionary algorithm (MAEA) is adapted for the above NP-hard problem. Simulation results demonstrate that the proposed MAEA outperforms a number of state-of-the-art evolutionary algorithms with respect to the solution quality.