搜索资源列表
steepest_descent
- 这个Matlab程序实现最速下降算法。最速下降法是一种最基本的算法,它在最优化方法中占有重要地位.最速下降法的优点是工作量小,存储变量较少,初始点要求不高;缺点是收敛慢,最速下降法适用于寻优过程的前期迭代或作为间插步骤,当接近极值点时,宜选用别种收敛快的算法. -Matlab implementation of this procedure steepest descent algorithm.
PID-GAs
- 遗传算法的PID调节 题目:已知 ,利用GA 寻优PID参数,其中K=1,T=2, ,二进制/实数编码,位数不限,M,Pc,Pm自选,性能指标 ,Q=100为仿真计算步长。-PID regulation of genetic algorithms Title: known, the use of PID parameters of GA optimization, in which K = 1, T = 2,, binary/real-coded, not limited to the me
geneticalgorithm
- 结合离散时间系统最优控制问题,提出一种新的混合算法.该算法是在遗传操作中嵌入模 拟退火算子,有效地结合了遗传算法隐含并行与模拟退火算法全局寻优的特点 -By embedding simulated annealing operator into genetic algorithm, a hybrid algorithm is put forward, which assimilates advantages ofboth genetic algorithm and simulated
GeneticAlgorithm
- 遗传算法matlab程序,程序在函数全局寻优中应用.-Genetic Algorithmmatlab
Particle.h
- 粒子群寻优算法源程序,采用VC+=编写, 比较好用。-Particle
ant
- 在matlab环境中用蚁群算法寻优潜水器的三维路径,效果很好-In the matlab environment, using ant colony optimization algorithm for three-dimensional underwater vehicle path, good results
psot
- 粒子群算法工具包,包括动态环境的寻优,还可以直观看到粒子的搜索过程-Particle swarm optimization tool kit, including the dynamic environment of the optimization, you can also see the particles in an intuitive search process
nlj20100106
- nlj寻优算法,对于系统参数辨识有很好的效果!-nlj optimization algorithm for system parameter identification have a good effect!
AntToExtrem
- 一种有效地搜索方法——蚁群算法对函数寻优-ACO searches the best result for the function
pso
- 粒子群算法 优化算法 范围内寻优-pso
PSO26
- 粒子群算法 寻优算法非线性函数 极值 寻优-Particle Swarm Optimization Algorithm for the optimization of nonlinear function extremum
matlabyiqunsuanfa
- 蚁群算法是一种用来在图中寻找优化路径的机率型算法。是一种求解组合最优化问题的新型通用启发式方法,该方法具有正反馈、分布式计算和富于建设性的贪婪启发式搜索的特点。通过建立适当的数学模型,基于故障过电流的配电网故障定位变为一种非线性全局寻优问题。-Ant colony algorithm is a method used to find optimal path in the graph the probability-based algorithm. Is a combination of opt
GA_Intelligent
- 只能制造技术车间调度程序,采用遗传算法对工序进行安排和寻优。-Scheduler can only manufacturing plant, a genetic algorithm optimization process for the arrangements and.
constrains
- 牛顿约束及黄金分割法是一种很好的全局寻优算法,利用这种方法可以很好的实现全局寻优,其结果可与遗传算法、模拟退火算法、爬山法等相媲美!-Newton constraints and golden section method is a good global optimization algorithm, using this method can achieve a good global optimization, the result with genetic algorithms, sim
yizhonggaijindeliziqunsuanfa
- 粒子群算法是求解函数优化问题的一种新的进化算法,然而它在求解高维函数时容易陷入局部最优,为了克服这个缺点,提出了一种新的粒子群算法,算法对粒子的速度和位置更新公式进行了改进,使粒子在其最有位置的基础上进行位置更新,增强了算法的寻优-PSO for solving function optimization problems is a new evolutionary algorithm, but it is easy to solve high-dimensional function into
optic7
- 一种新的智能优化算法发 光学寻优算法 解决优化问题-light ray optimation
Particle-swarm-optimization
- 粒子群算法的寻优算法-非线性函数极值寻优-Particle swarm optimization algorithm- Extreme nonlinear function optimization
improved-AFSA
- 基于混沌迭代式的改进鱼群算法用于对非线性函数寻优-an improved Artificial Fish-swarm Algorithm on optimization for unlinear function
1
- 基于C语言的遗传寻优算法,用于计算全局最优解-C-based genetic optimization algorithm used to calculate the global optimal solution
optimization-algorithm
- 神经网络案例:粒子群算法的寻优算法-非线性函数极值寻优-Neural network case: particle swarm optimization algorithm- extreme optimization of nonlinear function