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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.
SA-c++
- 这个是SA模拟退火求函数极值用c++编译的程序-the simulated annealing SA is seeking function using extreme procedures c compiler
GA2
- 这是一个利用遗传算法求解函数极值，是用Visual C++ 编写
GA_final
- 遗传算法程序求函数极值点,可调交叉和变异个数
UnitSGA
- 一个求函数极值的遗传算法程序-function for a maximum of Genetic Algorithm
GA_funcMax
- 遗传算法求解函数极值，一个基础的实用程序
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
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.
tuihuosuanfa
- 神经网络（应用模拟退火算法求函数极值问题）-Neural network (the application of simulated annealing algorithm for function extremum problems)
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
GS
- 用遗传算法求解函数最优化问题，可以求目标函数的极值-Function using genetic algorithm optimization problem can be of extreme value for the objective function
GAmax
- 遗传算法求函数极值的C++源程序，初学遗传算法的可以看看。-Extremal function for genetic algorithm of the C++ source code, beginner can look at the genetic algorithm.
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.
GA
- 基于VC++编程，实现遗传算法的代码，并实现了遗传算法对函数极值的搜索，并调用MATLAB绘图-Based on VC++ programming, genetic algorithm code, and implements a genetic algorithm to function extremum search and call MATLAB Graphics
simulated-annealing-algorithm
- 用模拟退火算法实现求函数极值问题，c++原码-Simulated annealing algorithm demand function, extremal problem, c++ source
GA-1
- 遗传算法求解函数极值问题。完整实现了遗传算法的选择/交叉/变异等功能，可设定交叉和变异概率。C++语言，输出为文件形式-Genetic Algorithm for function extremum problem. Full realization of the genetic algorithm selection/crossover/mutation and other functions, can be set crossover and mutation probability. C+
粒子群优化算法的寻优算法——非线性函数极值寻优
- 粒子群优化算法的寻优算法——非线性函数极值寻优(Particle swarm optimization algorithm -- nonlinear function extremum seeking optimization)