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简单遗传算法（SGA）.rar
- matlab中运行
粒子群优化算法C
- 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域-comparison with the genetic algorithm, the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function op
ycsf
- 本程序演示的是用简单遗传算法随机一个种群，然后根据所给的交叉率，变异率，世代数计算最大适应度所在的代数-demonstration of this program is simple genetic algorithm used a random population, according to the cross-rate, the rate variation, calculated for generations to adapt to the greatest degree where
matlab111
- 遗传算法又叫基因进化算法，或进化算法。属于启发式搜索算法一种，这个算法比较有趣，并且弄明白后很简单，写个100-200行代码就可以实现。在某些场合下简单有效。本文就花一些篇幅，尽量白话方式讲解一下。(GA simple genetic algorithm;basic genetic algorithm;traditional genetic algorithm)
遗传优化工具箱 - NSGA-II
- 改进的遗传算法，多目标优化算法，简单，快捷有效(Improved Genetic Algorithm)
Ch8_GA_JSP
- 用遗传算法解决简单的JSP问题，即作业车间调度问题，并可绘制流程图。(The genetic algorithm is used to solve the simple JSP problem, that is, the job shop scheduling problem, and can draw the flow chart.)
模拟退火，遗传算法，神经网络程序
- 模拟退火，遗传算法，神经网络程序高级算法的简单运用，是有效的计算出最优的方法，相比于暴力搜索，算法简洁，运行时间短(The application of simulated annealing, genetic algorithm and advanced algorithm of neural network program is the best way to calculate effectively. Compared with violent search, the algorithm
新建文件夹
- 遗传算法工具箱解决函数最小值问题，简单的滤波器函数构造(Genetic algorithm toolbox to solve the function minimum problem, a simple structure of the filter function)
ga1
- 关于遗传算法简单入门的一些小程序，有选择、交叉、变异的函数(On the simple introduction of genetic algorithm some small programs, there is a choice, cross, mutation function)
niso1-mxl653
- 基因算法的python实现，实现了简单的基因遗传算法。可用来初学者参考。(A simple genetic algorithm is realized by the python implementation of the genetic algorithm. It can be used for reference for beginners.)
GeneticAlgorithm
- 使用传统的遗传算法解决0-1背包问题，其中使用的是轮盘选择、最简单的随机交叉变异(Using traditional genetic algorithm to solve the 0-1 knapsack problem)
GA Algorithms
- 利用遗传算法求极值，简单介绍遗传算法的操作流程，更准确的了解遗传算法(Using Genetic Algorithm to Calculate Extrema, Briefly Introduce the Operational Process of Genetic Algorithm, and Know the Genetic Algorithm More Accurately)
案例一
- 遗传算法的简单例程，供初学者了解，环境为matlab(A simple routine of genetic algorithms for beginners to understand, the environment is matlab)
main
- 遗传算法简单实现 基于c++编写 求解目标函数极值(Genetic algorithm is simple, and is based on c++ to solve the extreme value of objective function.)
AlgoGenetic
- 一个简单的遗传算法实现寻路的算法，工作空间为10*10的栅格空间，障碍物的位置可自行修改，输出为栅格的编号(a simple example for path planning using genetic algorithms)
遗传算法+投影寻踪程序代码
- 这是一个用遗传算法优化投影寻踪模型的MATLAB程序，简单易懂(This is a genetic algorithm to optimize the projection pursuit model of the MATLAB program, easy to understand.)
GAforVRP
- MATLAB遗传算法解决VRP问题，不带时间窗的简单模型(MATLAB genetic algorithm to solve VRP problem)
选址定容
- 经典遗传算法，简单易懂。适合初学者使用，是分布式电源的选址定容的算法(Classical genetic algorithm is simple and easy to understand. It is suitable for beginners to use. It is an algorithm for locating and sizing distributed power.)
GAOT
- 基于改进的遗传算法，简单易懂。适合初学者使用，是分布式电源的选址定容的算法(Classical genetic algorithm is simple and easy to understand. It is suitable for beginners to use. It is an algorithm for locating and sizing distributed power.)
粒子群算法
- 粒子群算法，也称粒子群优化算法或鸟群觅食算法(Particle Swarm Optimization)，缩写为 PSO， 是近年来由J. Kennedy和R. C. Eberhart等 开发的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的"交叉"(Crossover) 和"