Using DEPSO could avoid falling int

Using DEPSO could avoid falling into the partial optimal solution which is common to single optimization algorithm. After the algorithm import the chiasma or variation operations, the adaptability of the algorithm has made a lot of improvement. The result of experiment which chose the Double Cavity Jaw Crusher for object of simulation shows that, using DEPSO algorithm to find the best atom of signal decomposition based on MP of signal feature extraction, the searching speed, efficiency and accuracy of decomposition has been improved
greatly.

結果 (中文) 1:

使用 DEPSO 可以避免陷入局部最优解是常见单优化算法。该算法导入交叉或变异操作后，该算法的适应性取得很大的改善。选择了双腔颚式破碎机的模拟对象的实验结果表明，使用 DEPSO 算法查找基于 MP 的信号特征提取的信号分解的最佳原子、 搜索速度、 效率和精度的分解已被提高很大。

結果 (中文) 3:

用DEPSO能避免陷入局部最优解是单一算法常见。该算法的交叉、变异操作进口后，该算法的适应性有了很大的改善。实验中选择了双腔颚式破碎机为对象的仿真结果表明，采用DEPSO算法寻找基于MP的信号特征提取的信号分解的最佳原子，搜索速度、效率和准确性的分解进行了改进
大。