搜索资源列表
Basic-PSO
- 上一届传下来的粒子群算法，需要进行优化的可以用这个程序-Particle Swarm Optimization
mastering_matlab
- 精通MATLAB最优化计算 配套光盘 本书的主要内容是应用MATLAB来解决最优化问题，通过将“最优化问题”、“MATLAB优化工具箱”和“MATLAB编程”这三方面有机结合进行讲述，即一方面是使用工具箱来快速解决最优化问题，另一方面是通过算法编程深入解决最优化问题。主要包括MATLAB优化工具箱、无约束多维极值问题、约束优化问题、非线性最小二乘优化问题、线性规划、整数规划、二次规划、粒子群优化算法、遗传算法。 -The main contents of the book is the
pso_finnal
- 利用粒子群算法优化函数，对Rosenbrock最大值进行优化-Functions using particle swarm optimization, optimization of Rosenbrock maximum
GA-a-PSOPBP
- 遗传算法及粒子群算法优化的BP神经网络，用于多输入多输出的神经网络预测模型-GA and PSO optimized BP neural network. Can be used for ANN prediction models with multiple inputs and outputs
swarm
- 非线性约束优化问题的混合粒子群算法Nonlinear constrained optimization algorithm for hybrid particle swarm-Nonlinear constrained optimization algorithm for hybrid particle swarm
PSO
- 粒子群算法，用于函数优化问题，也可以求得最短路等问题。-Particle Swarm Optimization
function
- 求解函数优化的一种改进的粒子群算法，带有详细注释-a pso algorithm for function optimazaion
123
- 基于双适应度的粒子群算法，采用matlab编程，收敛效果好，可用于求解最优潮流等电力系统优化问题！-Based on the fitness of the two-particle swarm optimization using matlab programming, convergence effect, and can be used to solve power system optimization such as optimal power flow problem!
PSO-optimize-RBF
- 用粒子群算法优化rbf神经网络算法的源程序-Using the particle swarm optimization algorithm to optimize the neural network algorithm
pso_ga_RBF_network
- 用MATLAB语言编写的，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-Written by MATLAB, using the particle swarm algorithm to RBF neural network parameters were optimized, validated in the test program through the Particle Swarm Optim
采用粒子群算法，有效解决车辆路径优化问题
- VRP的实现，采用粒子群算法，有效解决车辆路径优化问题-VRP realization using particle swarm effective solution to the VRP
粒子群算法（PSO）工具箱
- 粒子群算法（PSO）源代码工具箱。该工具箱将PSO算法的核心部分封装起来，提供给用户的为算法的可调参数，用户只需要定义好有关参数，即可自行优化。
2
- 配电网采用二进制粒子群算法进行重构，同时使用普通粒子群算法对接入的DG注入功率进行优化(The distribution network adopts binary particle swarm algorithm to refactor, and the DG injection power is optimized by using the general particle swarm algorithm)
GAaPSO
- 遗传-粒子群算法 PSO-GA算法 解决多目标优化算法问题，针对最优解求解可得到更好的解，接近最优的目标值。(Genetic algorithm (PSO) PSO-GA algorithm is used to solve the multi-objective optimization problem, and the better solution is obtained for the optimal solution, and the near optimal target valu
psoSVMcgForClass
- 粒子群寻优，运用粒子群寻找优化参数，提高分辨率(Particle swarm optimization)
liziqun
- 使用粒子群算法优化了最大值搜索，程序可直接使用。(Use a particle swarm algorithm to optimize searching a maximum value of a image.)
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.)
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-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)