搜索资源列表
PSO
- 这是粒子群优化算法的实现,求解多模态函数非常使用-This is the Particle Swarm Optimization algorithm to solve multi-modal function is the use of
PSO
- 粒子群优化算法,主要是函数优化问题。很使用-Particle Swarm Optimization, mainly function optimization problems. Is the use of
Multiobjective-pso
- 多目标问题的粒子群优化算法实现,毕设时设计的,通过运行!-The issue of multi-objective particle swarm optimization algorithm, when the Bi-based design, by running!
粒子群优化算法
- 几种常见的智能算法代码示例,如clsPSO算法的MATLAB代码(PSO algorithm in intelligent algorithms MATLAB code)
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)
[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.)
pso
- 用粒子群优化算法求解函数最大值问题,有收敛曲线图,自己编的程序,附带一个常用的函数(Particle swarm optimization algorithm to solve the problem of maximum function, a convergence curve)
PSO
- 基于量子的粒子群优化算法,该算法通过粒子群有量子的行为,提高了算法的寻优能力,增强了算法的全局搜索能力,有效的避免了“早熟”问题。(Quantum based particle swarm optimization algorithm.The algorithm improves the searching ability of the algorithm by quantum behavior of particle swarm, and enhances the global searchi
粒子群优化算法
- 粒子群优化算法的一个demo,简单易懂,属于入门的pso算法(Particle swarm optimization algorithm, a demo, easy to understand, belong to the entry of the PSO algorithm)
PSO
- 粒子群优化算法程序,简单实用,代码易懂,这个程序分为参数设计以及主循环(Particle swarm optimization algorithm, simple and practical, the code is easy to understand)
MATLAB粒子群优化算法
- 粒子群优化算法的代码,可以用来自己修改成需要的子函数。(Particle swarm optimization algorithm code can be used to modify their own needs of the sub-function.)
PSO
- 粒子群优化算法可以用于优化很多其他算法,比如说变分模态分解,经验模态分解,神经网络,支持向量机等等(The particle swarm optimization is use to optimize parameters)
粒子群优化算法
- 粒子群优化算法(Particle Swarm Optimization,简称为PSO),粒子群算法是近年来发展起来的一种新的进化算法,和遗传算法相似,它也是从随机解出发,通过迭代寻找最优解,通过适应度来评价解的品质(Particle swarm optimization algorithm (Particle Swarm Optimization, referred to as PSO), particle swarm algorithm is a new evolutionary algori
粒子群优化算法
- 粒子群优化(PSO)是一种进化计算技术(进化计算)。 捕食鸟行为的研究。粒子群算法(PSO)的基本思想是通过群体中个体之间的协作和信息共享找到最优解。 粒子群优化算法的优点是它简单且易于实现,没有多个参数。目前,它已广泛应用于函数优化、神经网络训练、模糊系统控制等遗传算法中。(The particle swarm optimization (PSO:Particle swarm optimization) is an evolutionary computing technology (Ev
pso
- 粒子群优化算法的MATLAB代码,代码源充分。(The particle swarm optimization algorithm MATLAB code, the source of the full code.)
经典即变异粒子群优化算法
- AsyLnCPSO算法,BreedPSO算法,CLSPSO算法,经典粒子群PSO算法,RandWPSO算法等等经典粒子群变异算法模型(AsyLnCPSO algorithm, BreedPSO algorithm, CLSPSO algorithm, classical particle swarm optimization PSO algorithm, RandWPSO algorithm and so on, and so on.)
partical swarm matlab
- 粒子群优化算法基本程序,基本算法代码,最优化方法的Matlab实现(Particle Swarm optimization)
JAVA-PSO-master
- 一个简单实现的粒子群优化算法pso测试程序,输出粒子最优解,迭代50次后得到最终结果。( U4E00 u4E2 u5B3 u5B0 u5B9 u7B0 u7B0 u7B0 U89E3 uFF0C u8FED u4EE350 u6B21 u540E u5F97 u5230 u6700 u7EC8 u7ED3 u679C u3002)
基于粒子群优化的多智能体协作进化方法
- 粒子群优化在多智能体系统上的应用和仿真实现(the implementation of PSO in multi-agent systems)
粒子群优化
- 粒子群优化matlab源代码 使用matlab编程利用粒子群优化算法解决二维函数优化问题(Source code for PSO Matlab programming using particle swarm optimization algorithm to solve the two-dimensional function optimization problem)