搜索资源列表
pso.files
- 基于粒子群算法，可以用于函数优化的源代码，用matlab实现-Based on Particle Swarm algorithm, can be used for function optimization of source code, implementation using matlab
pso2
- 基于改进的粒子群算法，可以用来求解函数优化问题-Based on Improved Particle Swarm algorithm, can be used to solve the function optimization problem
pso3
- 有关粒子群算法的源程序，用matlab语言编得，可用于求解函数优化问题-Particle Swarm Optimization on the source, using matlab language was made, can be used to solve the function optimization problem
Optimization_of_RBF_Network
- 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 PSO RBF network optimization using particle swarm optimization on RBF neural network parameters are optimized, in the test procedures and verified thr
PSO_2D
- Matlab语言编写的2维粒子群算法进行函数最优化的源代码，并附有AVI视频演示！-2-D particle swarm optimization source code for optimization (with the AVI video!)
PSO_2D1
- 二维的粒子群算法仿真试验的matlab代码， 希望对大家有有帮助。-two-dimensional simulation PSO upload point of view we have a right to help.
PSO
- 很实用的群优化智能算法，计算粒子群算法的源代码，所需优化的目标函数命名为fitness即可。-a partical swarm algorithm
pso
- 运用粒子群和改进粒子群算法求解典型函数 具有可视化的功能-And improve the use of particle swarm particle swarm algorithm with a typical function of visual function
PSO_RMI
- 基于粒子群算法和区域互信息的图像配准，区域互信息比传统互信息具有更好的鲁棒性-Based on Particle Swarm Optimization and regional mutual information image registration, regional mutual information than the traditional mutual information has better robustness
PSOCODE
- 粒子群算法的MATLAB编程-Particle Swarm Optimization of MATLAB programming. . . . . . . . . . . . . . . . . .
pso1
- 粒子群算法求最值，用离子群算法求函数的最值-Particle Swarm Optimization for the best values, with ion swarm optimization function for the most value
pso
- cuda加速粒子群算法的代码，非常不错哦-particle swarm algorithm to accelerate the cuda code
PSORosenbrock
- 这个是粒子群算法的函数优化，matlab的-very nice
hybrid-PSO
- 这是一个混合的粒子群算法编程实现，希望对大家有帮助-hybrid PSO code in matlab
GODLIKE
- 遗传算法与模拟退火,粒子群算法的结合与比较实验.稍微修改就可以学习应用-Genetic algorithms and simulated annealing, particle swarm optimization algorithm and comparison with experiment. A slight modification can learn the application of
SAPSO
- 模拟退火-粒子群算法，该程序将模拟退火算法和粒子群算法相结合，对优化参数有很好的效果-Simulated annealing- particle swarm optimization, the program will be simulated annealing algorithm and particle swarm optimization by combining optimization parameters have a good effect
BreedPSO
- 种子粒子群算法，对粒子群的参数进行了改进，很有效。-Seed particle swarm algorithm, the parameters of PSO has been improved, very effective.
particles
- 用matlab工具实现粒子群算法，并解决TSP问题-Particle swarm optimization with matlab implementation
psoandimprovedpso
- 基本粒子群优化算法和改进粒子群优化算法程序，包括：用基本粒子群算法求解无约束优化问题，用带压缩因子的粒子群算法求解无约束优化问题，用线性递减权重粒子群优化算法求解无约束优化问题，用自适应权重粒子群优化算法求解无约束优化问题，用随机权重粒子群优化算法求解无约束优化问题，用学习因子同步变化的粒子群优化算法求解无约束优化问题，用学习因子异步变化的粒子群优化算法求解无约束优化问题，用二阶粒子群优化算法求解无约束优化问题，用二阶振荡粒子群优化算法求解无约束优化问题，用混沌粒子群优化算法求解无约束优化问题，
pso
- 粒子群算法解决二进制问题，通过matlab语言进行编程-Binary particle swarm algorithm to solve the problem, through the matlab programming language