PBIL algorithm is a probability learning based evolutionary algorithm.
PBIL算法是一种基于概率分析的进化算法。
It is proved that the PBIL algorithm is a suitable method in solving this problem, and it is flexible to attach restrictions and is stable in the process.
研究结果表明，用该方法解决自动组卷问题，对附加约束条件适应性强，计算结果稳定，是一个比较理想的算法。
It has been proved that PBIL algorithm is a suitable method in solving this problem in two aspects, flexibility to attach restrictions and stability of the process.
研究结果表明，用该方法解决自动组卷问题，对约束条件的增减适应性强，计算结果稳定，是一个比较理想的算法。
In this paper, an elitism-based PBIL algorithm which learns the selected best solutions in current population and the optimal solution found so far in the algorithm at same time is proposed.
在本文中，精英主义为基础的的PBIL算法学习选定的最佳解决方案，在目前的人口和最佳的解决方案迄今所发现的在同一时间的算法被提出。
In this paper, an elitism-based PBIL algorithm which learns the selected best solutions in current population and the optimal solution found so far in the algorithm at same time is proposed.
在本文中，精英主义为基础的的PBIL算法学习选定的最佳解决方案，在目前的人口和最佳的解决方案迄今所发现的在同一时间的算法被提出。
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