提出了一种将基于群体增量学习(population-based incremental learning,PBIL)算法用于遥感影像匹配的方法,给出了详细的理论和实验分析,引入信 ..
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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。
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