搜索资源列表
PSO_case1
- 粒子群优化算法的一个寻优案例,测试函数含有多个局部极值,尝试用PSO算法寻找全局极值-a case of Particle Swarm Optimization algorithm.
function-extreme-genetic-algorithm
- 运用matlab工具箱的神经网络遗传算法函数进行极值寻优-非线性函数极值-Matlab neural network using genetic algorithm toolbox function optimization Extreme- Extreme nonlinear function
jizhizuiyou
- 已调试好的神经网络遗传算法函数极值寻优-非线性函数极值的算法程序-Has debugging function neural network genetic algorithm optimization extreme- extreme nonlinear function of the algorithm
matlab1
- 神经网络遗传算法函数极值寻优--非线性函数极值代码,内附有详细代码,详细请参考matlab在数学建模中的应用。-Neural network genetic algorithm function optimization extreme- extreme nonlinear function code, containing a detailed code, matlab details please refer to the application of mathematical modeli
extreme-non-linear-function
- 神经网络遗传算法函数极值寻优-非线性函数极值-Function neural network genetic algorithm optimization extreme- extreme non-linear function
shenjingwagnluoyichuan
- 神经网络遗传算法,matlab,用于函数极值寻优-非线性函数极值,源代码-Neural network genetic algorithm, matlab, for function optimization extreme- extreme non-linear function, source code
wuyueshu
- 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. -useful math w hj jlk jjk jk cn k b,l nkk,l njjkn .sdhdj sjka alkla sklkssjka alkla sklkssjka alkla sklkssjka alkla sklks
bpycl1
- 神经网络遗传算法函数极值寻优-非线性函数极值-Neural network genetic algorithm function optimization nonlinear function extreme value
fisher
- 人工鱼群算法,在一片水域中,鱼往往能自行或尾随其他鱼找到营养物质多的地方,因而鱼生存数目最多的地方一般就是本水域中营养物质最多的地方,人工鱼群算法就是根据这一特点,通过构造人工鱼来模仿鱼群的觅食!聚群及追尾行为,从而实现寻优,以下是鱼的几种典型行为:(1)觅食行为:一般情况下鱼在水中随机地自由游动,当发现食物时,则会向食物逐渐增多的方向快速游去。(2)聚群行为:鱼在游动过程中为了保证自身的生存和躲避危害会自然地聚集成群,鱼聚群时所遵守的规则有三条:分隔规则:尽量避免与临近伙伴过于拥挤 对准规则:
chapter4
- 人工神经网络遗传算法函数极值寻优,适合初学者学习用-Artificial neural network, genetic algorithm function extremum optimization, suitable for beginners to learn to use
Tsteepest_desh
- 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. -The Matlab program to achieve the steepest descent algorithm. Steepest descent method is a basic algorithm, it occu
PSO
- 根据PSO算法原理,在MATLAB中编程实现基于PSO算法的函数极值寻优算法,程序前面给出了PSO算法参数设置,种群初始化,寻找初始极值,迭代寻优,最后通过算法反复迭代300次,画出每代最优个体适应度值变化曲线,最后通过对比发现说明PSO算法具有较强的函数极值寻有能力,谢谢,希望对大家有帮助。 -According to the principle of PSO algorithm in MATLAB programming function PSO algorithm based on ext
PSO
- 粒子群优化算法的寻优算法—非线性函数的极值优化-The optimum algorithm of particle swarm optimization algorithm, the extremal optimization of nonlinear functions
pso
- 粒子群算法的寻优算法-非线性函数极值寻优- Optimization algorithm of particle swarm optimization algorithm for nonlinear function optimization
Particle-Swarm-Optimization
- 微粒群算法的寻优算法:PSO算法参数设置、种群初始化、寻找初始极值、迭代寻优-Particle swarm optimization algorithm: PSO algorithm, parameter settings, population initialization, looking for the initial extremum, iterative optimization
code
- 该代码为基于pso算法优化的PID神经网络的系统控制算法 清空环境变量 粒子初始化 初始种群极值 迭代寻优 最优个体控制(The code is the system control algorithm of PID neural network based on PSO algorithm optimization Empty the environment variable Particle initialization Initial population extremum
PSO
- 粒子群搜索算法的一个简单的仿真程序的编写。根据PSO算法原理,在MATLAB中编程实现基于PSO算法的函数极值寻优算法。(A simple simulation program of particle swarm search algorithm. According to the principle of PSO algorithm, based on PSO algorithm, a function extreme optimization algorithm based on PSO a
FA-BP
- 该程序是最新的FA-BP算法,利用该程序可以进行极值的寻优。(The program is the latest FA-BP algorithm, which can be used to optimize the extreme value.)
PSOsuanfa
- 该代码为基于变异粒子群算法的函数极值寻优算法,选择合适的参数,通过迭代寻优,最后得到最优个体的适应度(This code is a function extremum optimization algorithm based on the mutation particle swarm optimization algorithm, selects the appropriate parameters, and obtains the optimal individual fitness by
GA-PSO
- PSO算法计算函数极值时,常常出现早熟现象,导致求解函数极值存在较大的偏差,然而遗传算法对于函数寻优采用选择、交叉和变异算子操作,直接以目标函数作为搜索信息,以一种概率的方式来进行,因此增强了粒子群优化算法的全局寻优能力,加快了算法的进化速度,提高了收敛精度。(When PSO algorithm calculates function extremum, it often appears premature phenomenon, which leads to large deviation