本文构造的遗传节约混合算法是一个两层的伪并行搜索结构，充分利用了不同的领域搜索方法。
Genetic-saving hybrid algorithm constructed in this paper is a double -deck pseudo-parallel structure. It makes the best of search methods in different fields.
为了改善纯mpi算法中的负载不平衡，混合并行算法使用了动态任务分配方法。
In order to improve load balance of pure MPI algorithm, a dynamic work sharing is used in hybrid parallel algorithm.
本文基于费用函数最小化方法，提出一种混合并行量子进化算法用于文本图像的边缘检测。
In this paper we present a hybrid parallel quantum evolutionary algorithm (PQEA) based on cost minimization technique for edge detection.
本文基于费用函数最小化方法，提出一种混合并行量子进化算法用于文本图像的边缘检测。
In this paper we present a hybrid parallel quantum evolutionary algorithm (PQEA) based on cost minimization technique for edge detection.
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