parallel mutation

基本解释

Instead of the traditional mutation operators, we use parallel mutation to improve the convergence performance.
并采用并行变异代替传统的变异操作以改善算法收敛性能。
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The computing efficiency and the performance of the algorithm are improved by a designed parallel algorithm, the crossover and the mutation operators.
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。
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Genetic algorithms model natural processes, such as selection, recombination, mutation and search a population of points in parallel, is not just a single point.
由于遗传算法是用点群进行寻优，而不是用一个单点进行寻优，具有隐含并行算法的特点；