改进的多目标粒子群算法，包括多个测试函数对程序中的部分参数进行修改将更好地求解某些函数 -Improved multi-objective particle swarm algorithm, including multiple test functions of some parameters on the program will be modified to better solve certain functions

主要研究基于粒子群算法控制系统PID参数优化设计方法以及对PID控制的改进。选择控制系统的目标函数，本控制系统选用时间乘以误差的绝对值，通过对控制系统的逐步仿真,对结果进行分析-The main research based on particle swarm optimization algorithm control system PID parameter optimization design method and the improvement of PID control. Choo

改进后的粒子群算法，可用于求解规划问题，路径问题和相关多目标组合优化问题-The improved particle swarm optimization (pso) algorithm, can be used to solve the planning problem, the routing problem and the relevant multi-objective combinatorial optimization problem

改进的粒子群算法 自适应粒子群算法,在普通的粒子群算法里面加入了熵和-Improved particle swarm optimization (pso) algorithm, adaptive particle swarm optimization (pso) algorithm, in the ordinary course of joined the entropy and particle swarm optimization (pso) algorithm