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A novel multi-objective genetic algorithm for the QoS based multicast routing and wavelength allocation problem in WDM network

机译:WDM网络中基于QoS的多播路由和波长分配问题的一种新型多目标遗传算法

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An archive based multi-objective genetic algorithm is proposed for the QoS based multicast routing and wavelength allocation problem (MRWA) is proposed. To not lose promising candidates and improve the algorithm efficiency, an external archive is introduced and used to preserve the promising candidates and form the next generation population. To increase the population diversity, a Pareto local search process is used to make a further exploitation for the new offspring generated by the mutation process. The selection mechanism is redesigned to intensify the exploration of promising areas. The proposed algorithm is evaluated on a set of different scale test problems and compared with some excellent related algorithms. The experimental results reveal very encouraging results in terms of the solution quality.
机译:提出了一种基于QoS基于QoS的多播路由和波长分配问题(MRWA)的基于归档的多目标遗传算法。为了不会失去有希望的候选人并提高算法效率,引入外部档案并用于保存有希望的候选人并形成下一代人口。为了增加人口多样性,帕累托本地搜索过程用于进一步利用突变过程产生的新的后代。选择机制重新设计以加强对有前途区域的探索。在一组不同的规模测试问题上评估了所提出的算法,并与一些优异的相关算法进行比较。实验结果表明,在溶液质量方面非常令人鼓舞。

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