The performance of DE algorithm is superior to other algorithm in numerical function optimization.
其中，差分演化算法在数值函数优化方面的性能要优于其它的优化算法。
This method ameliorated the operators of DE algorithm to avoid the discrete test data generation based on DE algorithm.
该方法对差分演化算法的操作算子进行改进，解决了差分演化算法生成离散型测试数据的问题。
In this paper, the DE algorithm was expanded to solve the mixed variables, restricted principal dimensions optimization.
将微分进化算法扩展到可求解混合变量、有约束的船舶主尺度优化问题。
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