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ga1
- 遗传算法程序说明: fga.m 为遗传算法的主程序 采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作!-Descr iption of the procedures for genetic algorithms: fga.m main program for the genetic algorithm using binary Gray encoding, roulette wheel based on the law of non-line
yichaunsuanfa
- fga.m 为遗传算法的主程序 采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作!-fga.m the main program for the genetic algorithm using binary Gray encoding, roulette wheel based on the law of non-linear ranking selection, uniform crossover and mutation operati
AdvancedGeneticAlgorithm
- This code and accompanying explanation is designed to be a genetic algorithm. It uses the roulette wheel method to optimize the function x^2 using six digit binary strings. The accompanying document goes through the algorithm and the code step-by-ste
yichuansuanfa
- fga.m 为遗传算法的主程序 采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作!-fga.m the main program for the genetic algorithm binary Gray encoding, roulette wheel method based on non-linear ranking selection, uniform crossover and mutation operations, but al
Ga
- 遗传算法求解TSP问题源代码，简单明了，采用轮盘赌进行遗传选择-TSP problem genetic algorithm source code is simple, using the genetic roulette wheel selection
SimpleGA_1
- 实现简单的进化算法，实数编码，轮盘赌选择方式，单点交叉，均匀变异。-Simple evolutionary algorithms, real coding, roulette wheel selection method, single-point crossover, uniform mutation.
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- 说明: fga.m 为遗传算法的主程序 采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作!-Descr iption: fga.m genetic algorithm for the main program binary Gray encoding, roulette wheel method based on linear ranking selection, uniform crossover and mutation operator
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- 说明: fga.m 为遗传算法的主程序 采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作!-Descr iption: fga.m genetic algorithm for the main program binary Gray encoding, roulette wheel method based on linear ranking selection, uniform crossover and mutation operato
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- 说明: fga.m 为遗传算法的主程序 采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作!-Descr iption: fga.m genetic algorithm for the main program binary Gray encoding, roulette wheel method based on linear ranking selection, uniform crossover and mutation operato
GA
- 遗传算法求函数最值问题 matlab代码 使用轮盘赌选择 交叉 变异-Genetic algorithm for function most value problem matlab code crossover and mutation using the roulette wheel selection
yichuansuanfa
- 遗传算法求解TSP问题，采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作!-Genetic algorithm for solving TSP problem, using the binary Gray code, based on the roulette wheel method of non-linear ranking selection, uniform crossover, mutation, but also introduce
resample
- 利用赌轮模型，来对序列数据重新赋予权重。-The roulette wheel model of sequence data re-assign weights.
BGA1031003
- // Simple Genetic Algorithm // binary coded // roulette wheel method // function f(x) = 21.5+x*sin(4*pi*x)-// Simple Genetic Algorithm // binary coded // roulette wheel method // function f(x) = 21.5+x*sin(4*pi*x)
ga-SIMPLE
- /求下列元素的最大值：目标函数max=f(x1,x2)=x1*x1+x2*x2 取值范围在{1，2，3，4，5，6，7} //本算法在选择时使用：轮盘赌选择法、交叉时使用：单点交叉。 -A maximum of the following elements: objective function Max = f (x1, x2) x1+ x2 = x1** x2.Scope in,2,3,4,5,6,7 {1}This algorithm is used when the choice
Genetic-Algorithm
- 人工智能方面 利用遗传算法解决一阶函数优化求解,运用了轮赌盘选择，单点交叉等算法-Artificial intelligence using genetic algorithms to solve a first order function optimization solution, using a round roulette wheel selection, single-point crossover algorithms
RouletteWheelSelection
- GA 算法中 一种选中算法selection(Based on Roulette wheel selection input is an array of any real number values)