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粒子群优化算法2
- 三种常见的粒子群优化算法,如linWPSO,LnCPSO,PSO(Three common particle swarm optimization algorithms, such as linWPSO, LnCPSO, and PSO)
SimuA_pso
- 基于模拟退火的粒子群算法。适合初学者对模拟退火和粒子群的理解。(Particle swarm optimization algorithm based on simulated annealing. For beginners, the understanding of simulated annealing and particle swarm.)
PSO_java
- 使用java来实现粒子群算法。对粒子群感兴趣的可以参考学习下。(Using java to implement particle swarm optimization. Interested in particle swarm, you can refer to the study.)
配电网络重构matlab代码
- 基于粒子群算法的配电网重构matlab程序(Matlab program of distribution network reconfiguration based on particle swarm optimization)
[智能] 粒子群优化算法演示(PSO)-PSO_Wael
- 用粒子群优化算法进行函数寻优,比如寻找函数的最小值,最大值等。(Particle swarm optimization algorithm for function optimization, such as finding the function of the minimum, maximum and so on.)
QPSO
- matlab编程的量子粒子群算法!!!!!!!!(QPSO by MATLAB!!!!!!)
tsp_pso
- 基于JAVA语言,使用粒子群算法求解旅行商(TSP)问题(Using particle swarm optimization (pso) algorithm to solve the traveling salesman problem)
PSO-MATLAB
- 实现粒子群算法的功能,有不同的评价函数可供选择,有很好的显示效果(Particle swarm algorithm to achieve the function, there are different evaluation functions to choose from, there is a good display effect)
PSO
- 本文件是粒子群算法的源程序,能用于对神经网络的优化。(This document is the particle swarm algorithm source code, can be used for the optimization of neural networks.)
PSO solve JSP
- 用粒子群算法求解车间调度问题,包含甘特图的制作程序(Particle swarm optimization algorithm for job shop scheduling problem, including Gantt chart)
粒子群优化算法
- 粒子群优化算法 人工智能 优化算法 信号去噪 非常好用(Particle swarm optimization algorithm, artificial intelligence optimization algorithm, signal denoising is very easy to use)
PSO1
- 简单的介绍粒子群算法,能入们该算法,学会使用(Simple introduction to particle swarm optimization, you can enter the algorithm, learn to use)
sample2-Rastrgrin
- 粒子群优化算法,通过运用粒子群算法优化函数。(Particle swarm optimization algorithm, through the use of particle swarm optimization function)
pso-pid
- 粒子群算法整定PID的算法,亲自调整,控制效果良好(pso-pid MATLAB m simulink)
program
- 利用粒子群算法进行潮流计算,潮流优化算法(Particle swarm algorithm for power flow calculation and power flow optimization algorithm)
chapter_PSO
- 利用粒子群算法优化支持向量机参数的算法的程序(Particle swarm optimization algorithm using support vector machine parameters of the algorithm)
PSO toolbox
- 粒子群算法工具箱以及适应度函数实例,实测有效(Particle swarm algorithm toolbox, as well as fitness function example, effective measurement)
PSO
- Python 实现的粒子群优化算法 粒子群算法源于复杂适应系统(Complex Adaptive System,CAS)。CAS理论于1994年正式提出,CAS中的成员称为主体。比如研究鸟群系统,每个鸟在这个系统中就称为主体。主体有适应性,它能够与环境及其他的主体进行交流,并且根据交流的过程“学习”或“积累经验”改变自身结构与行为。整个系统的演变或进化包括:新层次的产生(小鸟的出生);分化和多样性的出现(鸟群中的鸟分成许多小的群);新的主题的出现(鸟寻找食物过程中,不断发现新的食物)。(Par
PSO-bp((matlab
- 实现粒子群算法优化BP神经网络的预测算法(Particle swarm optimization algorithm to optimize the BP neural network prediction algorithm)
粒子群算法
- 粒子群算法代码,一种搜寻最优解的算法。它没有遗传算法的"交叉"(Crossover) 和"变异"(Mutation) 操作,它通过追随当前搜索到的最优值来寻找全局最优。(Particle swarm algorithm, a search algorithm for optimal solutions. It does not have the "Crossover" and "Mutation" operation