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Firstly the thesis introduce several improved PSO algorithm and standard PSO which are from basic PSO.
本论文首先介绍了经过基本粒子群算法改进而来的标准粒子群算法以及改进的其他P SO算法。
Guaranteed by the indentation factor, the improved PSO algorithm can keep the iteration particles in feasible region.
通过引入缩进因子，改进P SO算法，使粒子在迭代过程中保持在可行域内。
The simulation results show that the improved PSO algorithm can solve the high-dimensional numerical optimization problem effectively.
实验结果表明该改进微粒群算法可以有效地解决高维数值优化问题。
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