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improvedPSO.rar
- ------名称：带交叉因子的改进PSO算法 ------功能：求解多维无约束优化问题 ------特点：收敛性强，还可以加入变异算子,------ Name: with cross-factor function to improve the PSO algorithm ------: Solving multi-dimensional unconstrained optimization problem ------ characteristics: strong converge
zlbPSO
- 实现多目标粒子群优化功能，重点是进化因子的选取。-Multi objective particle swarm optimization, with emphasis on evolutionary selection factor.
PSO
- 经典粒子群算法，经过多次优化，演示出图， 待优化的目标函数：N 粒子数目：N 惯性权重：w 学习因子：c1,c2 最大迭代次数：M 问题的维数：D 目标函数取最小值时自变量值：xm 目标函数的最小值：fv-Classical particle swarm algorithm, optimized for many times, demonstrates plotting objective function to be optimized: N of
1AsyLnCPSO
- 异步更新学习因子PSO算法 可实现多峰函数优化-Asynchronous learning factor PSO algorithm updates multimodal function optimization can be achieved
1AsyLnSACPSO
- 异步更新学习因子 自适应更新权重 PSO算法 可实现多峰函数优化-Asynchronous update updates the weights of adaptive learning factor PSO algorithm can achieve multimodal function optimization
zlbPSO1
- 实现多目标粒子群优化功能，重点是进化因子的选取-implementation of multi objective particle swarm optimization function, the key is to the evolutionary factor!!