<FONT face=Verdana>The adaptive resource allocation’s multilayer multiobjective model for multiuser multiserver power-line communication systems is analyzed with the various restrictions. Based on the fast nondominated sorting genetic algorithm II

an improved resource allocation genetic algorithm with rate or power adaptation for single and multiple objective optimization is proposed

which firstly assigns resource for RT user by using the improved multiple objective genetic algorithm so as to obtain all Pareto nondominated solutions

secondly computes the system’s remainder resource for every Pareto solution and assigns them for NRT user by using the improved single objective genetic algorithm

lastly searches the global optimal scheme from all resource allocation schemes. The algorithm is tested in the typical power-line channel environment and the simulation results indicate that it has better performances and satisfies betterly the multiple aims of multiuser resource allocation.