based on improved pso 改进的粒子群优化
improved PSO-BP algorithm 改进PSO
improved PSO particle swarm optimization 改进粒子群优化算法
Improved hybrid PSO 改进的混合粒子群算法
The results for four standard test functions show that improved PSO increases the searching precision and shortens the running time comparing with original PSO.
文中使用四个标准无约束测试函数对改进后的粒子群算法进行了测试,从收敛性能和运行时间方面验证了改进的有效性。
参考来源 - 粒子群算法的改进及应用·2,447,543篇论文数据，部分数据来源于NoteExpress
Result shows that the improved PSO is brief and effective, and enhances the reconnaissance efficiency of the UAVs greatly.
结果表明，该算法简单有效，在很大程度上提高了无人机的侦察效率。
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。
For improving the predicting results, two improved PSO algorithm are presented also in this paper: Velocity Mutation PSO and hybrid PSO.
在此基础上，进一步提出了混合粒子群算法和速度变异粒子群算法两种改进算法提高优化性能。
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