带交叉因子的改进PSO算功能：求解多维无约束优化问题收敛性强，还可以加入变异算子-With cross-factor improvement of PSO operator functions: Solving multi-dimensional unconstrained optimization problem of strong convergence can also add mutation operator

带交叉因子的粒子群遗传算法，寻找最优位置-Particle Swarm with cross-factor genetic algorithm to find the optimal position

采用PSO和GA算法优化RBP神经网络的参数-PSO and GA algorithm optimization using neural network parameters RBP