PARTICLE SWARM OPTIMIZER IN NOISY AND CONTINUOUSLY CHANGING ENVIRONMENTS ABSTRACT In this paper we study the performance of the recently proposed Particle Swarm optimization method in the presence of noisy and continuously changing environm

模仿粒子运动的高质量随机数发生器，取粒子坐标得到随机数，附带测试结果图片-Mimic the particle motion of high-quality random number generator, taking the number of particle coordinates to be random, with test results picture

Matlab粒子群算法优化RBF网络采用了粒子群算法对RBF神经网络中的参数进行了优化，，在测试程序中验证了经过粒子群算法优化的RBF神经网络的函数逼近能力比未经过优化的逼近能力强 -Matlab particle swarm algorithm to optimize the RBF network using particle swarm optimization of parameters in RBF neural network optimized, verified in a t