Adaptive traffic engineering of parallel paths based on genetic algorithm
基于遗传算法实现并行路径的自适应流量工程

The centralized traffic optimization based on dynamic parallel paths was discussed with genetic algorithm.The ATEPP(Adaptive Traffic Engineering of Parallel Paths) algorithm was proposed.The network congestion information and the link utilization were integrated into the proposed algorithm so that it can dynamically decide the optimized objectives and decide whether a pair of source and destination nodes used parallel paths.The evolution selection of genetic algorithm was simplified by the offered feasible and simple traffic assignment solutions.The simulation analysis shows that the proposed algorithm can reduce the solution space,decrease the complexity,increase the convergence speed and assure the optimization performance well.