最后，本论文实现了粗粒度并行遗传算法。
Lastly, we achieved the coarse-grained parallel genetic algorithms.
通过设计粗粒度并行遗传算法和交叉、变异等算子，提高了算法的计算效率和性能。
The computing efficiency and the performance of the algorithm are improved by a designed parallel algorithm, the crossover and the mutation operators.
在主从式、细粒度和粗粒度这三类遗传算法并行化模型中，粗粒度模型以其较小的通讯开销和对种群多样化，获得了最广泛的应用。
Among the master-slave, fine-grained and coarse grained parallel avenues, the coarse-grained model is most widely used for its little communication overhead and its diversifying of the population.
应用推荐