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一个用于求函数极值的遗传算法程序
- 一个用于求函数极值的遗传算法程序,使用VC++编程.-seek function for a maximum of genetic algorithm, the use of VC.
遗传算法解决函数极值问题
- 本源码为使用遗传算法解决函数极值问题
function
- 基于遗传算法的函数优化,利用遗传算法求解函数极值。-Function based on genetic algorithm to optimize the use of genetic algorithm function extremum.
yichuan
- 用C编的遗传算法求函数极值，人工智能作业，比较有用-With C-series extremal function for genetic algorithm, artificial intelligence operations, more useful
generic2
- 遗传算法求解极值的源程序，只需将要求函数在源文件中输入，即可，种子数100，变异概率和交叉概率可调-Extremes of genetic algorithm source code, simply will be asked to function in the source file type, you can, seed number of 100, mutation probability and crossover probability adjustable
11
- 利用遗传算法求解函数极值。真的可以啊，确实啊-Use genetic algorithm function extremum.
pptOfGeneticAlgorithm
- 讲述了遗传算法的基本原理、特点、应用领域、优化设计、应用等 例：1.基于遗传算法优化的RBF网络逼近 2.遗传算法求函数极值-About the basic principles of genetic algorithms, characteristics, applications, and optimize the design, application and other cases: 1. Based on genetic algorithm optimization of R
GA
- 采用M语言编写，利用遗传算法二进制编码求函数极值的程序.可以设定编码位数，进化代数，种群大小等。-With M written in binary-coded genetic algorithm function extremum seeking procedure. Can be set to encode digits, evolution algebra, population size.
DCQGA
- 运用双链量子遗传算法（DCQGA）求F6函数的极值。这个函数的极值在（0，0)点，极大值是1.-Quantum genetic algorithm using double-stranded (DCQGA) F6 function extremum seeking. Extremum of this function at (0,0) point, maximum value is 1.
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
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
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
eg4-feixianxinghanshujizhi
- 《MATLAB神经网络30个案例分析》中的第4个例子，案例4 神经网络遗传算法函数极值寻优-非线性函数极值。希望对大家有一定的帮助！-The MATLAB neural network analysis of 30 cases of 4 example, case 4 optimization extreme genetic algorithm neural network function- nonlinear function extremum. Hope to have certain h
chapter4
- 神经网络遗传算法函数极值寻优——非线性函数极值寻优-Function neural network genetic algorithm optimization extreme- extreme nonlinear optimization
Neural-Network-Genetic-Algorithm
- 运用神经网络遗传算法函数极值寻优-来求取非线性函数极值代码-Neural network genetic algorithm optimization function extreme
chapter4
- 本算法是基于神经网络遗传算法函数极值寻优。具体用法见源代码内注释- U672C u7B97 u6CD5 u662F u57FA u4E8E u795E u7ECF u7F51 u7EDC u9057 u4F20 u7B97 u6CD5 u51FD u6570 u6781 u503C u5BFB u4F18 u3002 u5177 u4F53 u7528 u6CD5 u89C1 u6E90 u4EE3 u7801 u5185 u6CE
遗传算法
- 基本遗传算法例程，用于求解普通函数极值问题。源码分析，解析很详细
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