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中文摘要：
为了最小化光网络使用的电设备数和波长资源，提出了利用遗传算法对组播业务进行排序，以此顺序梳理业务；进一步提出了2种基于无限制多跳的梳理算法．从理论上计算出网络需要的最小电设备数，并与遗传算法进行了比较．仿真证明遗传算法的结果接近于理论最小值，同时遗传算法对业务梳理的不同情况都有较强的适用性．
英文摘要：
In order to minimize the number of electric equipments and wavelengths in optical networks, a genetic algorithm of arranging the order of multicast traffics was proposed and therefore the traffics were groomed according to the order. Two grooming algorithms based on non-restricted multihop provisioning were also proposed. The minimum value of required electric equipments of theory was calculated and compared with the result of genetic algorithm. Simulations show that the value of genetic algorithm is close to that of theory and genetic algorithm is applicable for traffic grooming under different conditions.
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