搜索资源列表
GAPLL
- ga的一个仿真例子程序，还不错，用起来效果比较好，需要自己根据项目情况写适应度函数-ga a simulation example of the procedure, but also good to use effect is better, the basis of project information required to write their own fitness function
fitnessfunction
- 线性二次最优控制加权阵遗传算法优化适应度函数m文件；模糊控制器量化比例因子遗传算法优化适应度函数m文件-Linear quadratic optimal control weighted array genetic algorithm fitness function m documents quantization scale factor of fuzzy controller optimized by GA fitness function m file
Matlab
- Fitness function that help users to use that in ga applications.
Genetic_Algorithm
- How to use the program for your own purposes: The main thing that needs to be changed in ga.m is the fitness function and a few parameters. It is now set to minimize a function z=f(x,y) that is a sum of scaled translated Gaussian distr
GA
- 1元简单函数优化的遗传算法程序，包括初始化、适应度函数、交叉、变异、选择和主程序以及画图分析。-A simple function of the genetic algorithm optimization procedures, including initialization, fitness function, crossover, mutation, selection and the main program as well as drawing analysis.
matlab-GA-FIR
- 基于遗传算法来实现频率采样FIR滤波器的设计，本程序采用的是谢菲尔德的遗传算法工具箱，有各种函数，在工程里面添加了自己的适应度函数。-Based on genetic algorithm to implement the frequency sampling FIR filters, this procedure USES a genetic algorithm toolbox of Sheffield has a variety of functions, in engineering to
GA
- 用matlab实现的基本遗传算法、顺序选择遗传算法、适值函数标定的遗传算法、大变异遗传算法、自适应遗传算法、双切点交叉遗传算法、多变异位自适应遗传算法-Using matlab realize the basic genetic algorithm sequentially selects genetic algorithm, fitness function of the genetic algorithm calibration, large mutation genetic algorit
GA
- 遗传算法MALAB程序包，包括适应度、计算、选择交叉、变异等子程序-GA MALAB package, including fitness, calculation, select crossover and mutation subroutine
FaceGA
- Face Detection By GA- code contains fitness function prepared for face detection using genetic algorithm
Genetic-Algorithm-matlab
- 遗传算法 ( Genetic Algorithm , GA) 是借鉴生物界自然选择和群体进化机制形成的一种全局寻优算法 。与传统的优化算法相比 ,遗传算法具有如下优点 [1 ] :1 ) 不是从单个点 ,而是从多个点构成的群体开始搜索 2) 在搜索最优解过程中 ,只需要由目标函数值转换得来的适应值信息 ,而不需要导数等其它辅助信息 3) 搜索过程不易陷入局部最优点 。 数学建模中常用的matlab算法，遗传算法，内容详细，包括PDF版本的详细的算法实现过程；-Genetic Algorith
GA
- This program has evolved (hopefully to achieve a higher fitness!) over time using programming ideas several persons including LaMoyne Porter, Will Lennon, Jonathan Cook, and Jim Gremling.-This program has evolved (hopefully to achieve a higher
GA-TSP
- This code uses the genetic algorithm to solve the traveling salesman problem by using the exchange,cross and mutation operators to change the route and calculate the fitness(distance) of each route.
GApid_function
- GA PID FITNESS FUNCTION
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.)
PSO&GA
- 本文件对PID参数kp,ki,kd进行寻优，以ITAE作为指标函数。 PSO 文件中有详细的参数设置和寻优过程 GA寻优与PSO寻优作为对比出现 figure1展示了随着迭代次数的变化，适应度函数的收敛情况 figure2展示了kp,ki,kd的迭代情况 ht 文件是用来画图的 问题解决思路.pdf 简要介绍了粒子群算法寻优的过程(In this document, the PID parameters KP, Ki, KD are optimized, and ITAE is us
遗传算法优化pid
- fun1为适应度函数 GA_optima为优化pid的主函数 mainopt.slx为适应度函数里面调用的模型 test.slx为比较模型(Fun1 is the fitness function GA_optima is the main function to optimize pid Mainopt.slx is the model called inside the fitness function Test.slx is the comparison model)
ga
- 这是一个基于matlab的遗传算法，内含交叉操作、计算适应度函数、变异操作等算法，需要的赶紧下载了~(This is a genetic algorithm based on matlab, including cross-operation, calculation fitness function, mutation operation algorithm, need to be downloaded quickly ~)
GAforPathPlaning
- 采用栅格对机器人的工作空间进行划分，再利用优化算法对机器人路径优化，是采用智能算法求最优路径的一个经典问题。目前，采用蚁群算法在栅格地图上进行路径优化取得比较好的效果，而利用遗传算法在栅格地图上进行路径优化在算法显得更加难以实现。 利用遗传算法处理栅格地图的机器人路径规划的难点主要包括：1保证路径不间断，2保证路径不穿过障碍。 用遗传算法解决优化问题时的步骤是固定的，就是种群初始化，选择，交叉，变异，适应度计算这样，那么下面我就说一下遗传算法求栅格地图中机器人路径规划在每个步骤的问题