搜索资源列表
GA
- 十进制、二进制遗传算法以及混合遗传算法matlab源代码(Matlab Code for Genetic Algorithm in Bin and Dec format and Mix Genetic Algorithm with an example. 17 files include functions for mutation, hybird, fitness and so on.)
GA遗传算法
- 经典遗传算法 GA 单目标优化智能算法 启发式算法 优化算法(genetic optimization)
chapter9 基于遗传算法的多目标优化算法
- chapter9 基于遗传算法的多目标优化算法(Chapter9 multi objective optimization algorithm based on genetic algorithm)
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)
chapter7 多种群遗传算法的函数优化算法
- chapter7 多种群遗传算法的函数优化算法(Chapter7 Function optimization algorithm based on multi population genetic algorithm)
chapter6 遗传算法工具箱详解及应用
- chapter6 遗传算法工具箱详解及应用(Chapter6 Explanation and application of genetic algorithm toolbox)
GA+PSO
- 压缩文件中包含三个文件,分别是:GA+PSO、GA_only和PSO_only三个程序包。程序是用MATLAB编写的遗传+粒子群算法、遗传算法、粒子群算法,每个程序中包括主程序、种群选择、自适应函数子函数。(The compressed file contains three files, which are GA PSO, ga_only and pso_only three program package. The program is genetic particle swarm algo
GA-BP
- 利用遗传算法对BP神经网络进行优化,算法效果较好,可移植性强。(The genetic algorithm is used to optimize the BP neural network, and the algorithm is effective and transplantable.)
GA-BP
- 算法基本要素: 1.染色体编码方法 2.适应度函数 3.遗传操作—-(选择、交叉、变异) 4.运行参数—(参数:群体大小M、遗传代数G、交叉概率Pc和变异概率Pm)(Basic elements of algorithm: 1. chromosome coding method 2. fitness function 3. - the genetic operation (selection, crossover and mutation) 4. operating pa
GA-BPNN
- 遗传算法优化BP神经网络-非线性函数拟合(BP neural network optimized by genetic algorithm for nonlinear function fitting)
GA
- 遗传算法程序,可以求解非线性规划中函数最优值问题(Genetic algorithm program, can be solved in nonlinear programming function optimal value problem)
GA-BP
- 遗传算法优化神经网络,可以增加精度,避免陷入局部极小值(BP neural network optimized by genetic algorithm)
GA
- 遗传算法求极小值,用一个函数为例求解极小值(Minimum value of genetic algorithm,use a function as an example to solve)
GA
- 利用GA遗传算法进行动态路径规划,完成最优轨迹的生成,适合新手入门学习。(Using GA genetic algorithm for dynamic path planning, the completion of the optimal trajectory generation, suitable for beginners to learn.)
GA_TSP
- 在matlab中利用ga算法来解决tsp问题。(Using GA to solve TSP problem)
刘星算法
- 遗传算法(Genetic Algorithm)是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型,是一种通过模拟自然进化过程搜索最优解的方法,它最初由美国Michigan大学J.Holland教授于1975年首先提出来的,并出版了颇有影响的专著《Adaptation in Natural and Artificial Systems》,GA这个名称才逐渐为人所知,J.Holland教授所提出的GA通常为简单遗传算法(SGA)。遗传算法广泛应用在生物信息学、系统发生学、计算科学、
GA
- 使用python实现遗传算法的基本功能,包括变异,交叉,选择(Using Python to achieve the basic functions of genetic algorithms, including mutation, crossover, selection)
遗传算法及其Matlab实现
- 遗传算法及其Matlab的实现,代码例子(Genetic algorithm and its Matlab implementation)
GA
- matlab书中遗传算法,用于求解函数最大值(The genetic algorithm in the MATLAB book is used to solve the maximum function of the function)
GA
- 基于MATLAB进行的遗传算法程序编写,可用于标准遗传算法的计算。(The genetic algorithm program based on MATLAB can be used for the calculation of the standard genetic algorithm.)