各种粒子群或改进型粒子群算法 1）粒子群优化算法(求解无约束优化问题) 1>PSO(基本粒子群算法) 2>YSPSO(待压缩因子的粒子群算法) 3>LinWPSO(线性递减权重粒子群优化算法) 4>SAPSO(自适应权重粒子群优化算法) 5>RandWSPO(随机权重粒子群优化算法) 6>LnCPSO(同步变化的学习因子) 7>AsyLnCPSO(异步变化的学习因子)(算法还有bug) 8>SecPSO(用二阶粒

对典型的粒子群算法的改进，是一类权重改进的粒子群算法，利用新型递减权重法来更新粒子速度和位置，用来解决静态单目标优化问题-It is the improved particle swarm optimization algorithm. It introduced a kind method named new decreasing weight to update the position and velocity of the particle. It can be used for han

用学习因子同步变化的粒子群优化算法求解无约束优化问题-Changes in synchronization with the learning factor PSO algorithm for solving constrained optimization problems

线性递减权重法的粒子群算法，针对基本粒子群算法容易早熟以及算法后期易在全局最优解附近产生振荡现象，可以采用线性变化的权重。-A linear weighting method of particle swarm algorithm, in view of the basic particle swarm optimization (pso) algorithm is easy to premature algorithm and easy to generate oscillation phen