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swarmmathwork
- 粒子群搜索的matlab程序，对于一个隐函数寻优，四维隐含数嵌入在子函数中，可根据需要更改，-PSO Matlab search procedures, an implicit function optimization, 4D implied several embedded in the Functions, may need to change.
GoldFind
- 用于单变量函数寻优的黄金分割法matlab程序,我试过了好用.
fxxxy
- 该程序分别用四种经典算法对自定义3次非线性函数寻优，并给出寻优路径-The program of four classic algorithms were used three times on custom non-linear function optimization, and gives the path optimization
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
GA
- 遗传算法的原理及MATLAB 环境中实现遗传算法各算子的编程方法,并以一个简单的实例说明所编程序在函数全局寻优中的应用。-The principle of genetic algorithms and genetic algorithms MATLAB environment to achieve the programming method of the operator, and a simple example shows the function of the programmed ap
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
fish121
- 量子遗传算法函数寻优，用鱼群求解非线性函数-Quantum genetic algorithm for function optimization, fish for Nonlinear Function
YQSF
- 鱼群算法函数寻优，以求解在约束条件下的极值。给出两个实例-Artificial fish swarm algorithm function optimization, in order to solve the constrained extreme value.Two examples are given
pso
- 标准粒子群优化算法，对不同的适应度函数寻优-Particle Swarm Optimization
粒子群算法的寻优算法-非线性函数极值寻优
- 通过粒子群算法对非线性函数的极值进行求解(The extremum of the nonlinear function is solved by particle swarm optimization)
粒子群算法-非线性函数极值寻优
- 根据粒子群算法原理，在MATLAB上完成非线性函数的极值寻优。(According to the principle of particle swarm optimization algorithm, the extremum of nonlinear function is optimized on MATLAB.)
新建文件夹
- 利用MATLAB语言对该算法寻优过程进行了仿真，仿真结果表明该算法可以找出全局最优解。(The optimization process of the algorithm is simulated by using MATLAB language. The simulation results show that the algorithm can find the global optimal solution.)
chapter4
- 神经网络遗传算法函数极值寻优——非线性函数极值寻优(Neural network, genetic algorithm, function extreme value optimization nonlinear function extremum seeking)
chapter8基于量子遗传算法的函数寻优算法
- 本文件为基于量子遗传算法的MATLAB软件去寻优(This paper is based on the MATLAB software to seek optimization based on the quantum genetic algorithm)
模拟退火算法计算函数最小值以及SVM参数寻优
- 利用模拟退火算法求解已知函数的最小值，即模拟退火算法寻优问题，可以广泛推广。(Using simulated annealing algorithm to solve the minimum of the known function, that is, the simulated annealing algorithm optimization problem, can be widely promoted.)
chapter8 基于量子遗传算法的函数寻优算法
- chapter8 基于量子遗传算法的函数寻优算法(Chapter8 function optimization algorithm based on quantum genetic algorithm)
PSO
- 粒子群算法的寻优算法-非线性函数极值寻优(Particle swarm optimization algorithm for Extremum seeking of nonlinear function)
基于遗传算法和非线性规划的函数寻优算法
- chapter2 基于遗传算法和非线性规划的函数寻优算法 《MATLAB智能算法30个案例分析》(史峰等)(30 case studies of MATLAB intelligent algorithm (Shi Feng et al.))
遗传算法示例
- 基于遗传算法的多元函数寻优算法的matlab代码实现。(Multiple function optimization algorithm based on genetic algorithm)
基于鱼群算法的函数寻优算法
- 基于鱼群算法的函数寻优算法的matlab代码示例。(Function optimization algorithm based on fish swarm algorithm)