Description: 该程序为使用了轮盘赌选择方式、单点交叉和基本位变异算子，内嵌精英保留策略的基本遗传算法。其实现使用了固定数组，使用一个常用的测试函数。-The procedure for the use of a roulette wheel selection, single-point crossover and basic bit mutation operator, embedded elite reservation strategy for the basic genetic algorithm. The realization of the use of a fixed array, the use of a commonly used test functions. Platform: |
Size: 3072 |
Author:东方志柱 |
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Description: 功能：使用旋转轮盘法实现遗传算法的选择操作使用旋转轮盘法实现遗传算法的选择操作-Function: the use of rotating wheel method to achieve genetic algorithm to choose the operation method using the rotating wheel realize the choice of genetic algorithm operation Platform: |
Size: 2048 |
Author: |
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Description: 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 operations, but also the introduction of the inversion operation Platform: |
Size: 6144 |
Author:赵彦 |
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Description: 采用了保优的选择遗传算法
终止条件的判断是：到达一定的代数。可改进为：相邻若干代的种群平均适应值的变化来判断。若相邻若干代的种群平均适应值为变化或者是变化小于某一阈值，表示算法已经收敛，则退出算法。
选择算子：轮盘赌选择；
交叉算子：单点交叉,随机选择计算此适应度值，若大于当前最佳适应度值则降低交叉概率，否则不变；
变异算子：模板,对于优势个体，除采用低概率变异外，变异位置应采取权值越大，变异概率越小的原则,而对劣势个体则相反.-Paul used the choice of excellent conditions for the termination of genetic algorithm to determine is: a certain algebra. Could be improved as follows: adjacent to the average number of generations of populations to adapt to the changes to determine the value. Adjacent to several generations if the population average fitness for the change or changes in less than a threshold, that the algorithm has been convergence, then from the algorithm. Selection operator: roulette wheel selection crossover: single-point crossover, randomly selected to calculate the fitness value, if greater than the current best fitness value to reduce the probability of crossover, otherwise remain unchanged mutation operator: the template for advantage of the individual, with the exception of the use of low-probability variation, the variation of the location of the greater weight should be taken, the smaller the mutation probability principle, and that the opposite is true for the inferior individual. Platform: |
Size: 6144 |
Author:棋子 |
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Description: 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!-Description 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-linear ranking selection, uniform crossover and mutation operations, but also the introduction of the inversion operation! Platform: |
Size: 3072 |
Author:hexing |
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Description: 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 operations, but also the introduction of the inversion operation! Platform: |
Size: 17408 |
Author:张生 |
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Description: 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-step. Platform: |
Size: 46080 |
Author:anatolia |
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Description: 轮盘赌遗传算法，用vc++写的，主要用于函数求最优值-Roulette wheel genetic algorithm, using vc++ to write, and is mainly used for seeking the optimal value function Platform: |
Size: 474112 |
Author:wenzheng |
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Description: 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 also introduces the inversion operation! Platform: |
Size: 8192 |
Author:曾建 |
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Description: 此代码是实数编码遗传算法的Matlab例程。用了精英保留策略选择和轮盘赌选择法，叉操作采用中间重组方式。-This code is a real-coded genetic algorithm Matlab routines. Retention policies with the elite selection and roulette wheel selection method, fork operation mode using the middle of restructuring. Platform: |
Size: 2048 |
Author:王巍 |
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Description: 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!-Description: fga.m genetic algorithm for the main program binary Gray encoding, roulette wheel method based on linear ranking selection, uniform crossover and mutation operators, but also introduces the inversion operation! Platform: |
Size: 3072 |
Author:杨轩 |
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Description: 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!-Description: fga.m genetic algorithm for the main program binary Gray encoding, roulette wheel method based on linear ranking selection, uniform crossover and mutation operators, but also introduces the inversion operation! Platform: |
Size: 1024 |
Author:杨轩 |
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Description: 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!-Description: fga.m genetic algorithm for the main program binary Gray encoding, roulette wheel method based on linear ranking selection, uniform crossover and mutation operators, but also introduces the inversion operation! Platform: |
Size: 1024 |
Author:杨轩 |
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Description: 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 Platform: |
Size: 1024 |
Author:小新 |
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Description: 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 introduces the inversion operation! Platform: |
Size: 4096 |
Author:yang |
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Description: 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 Platform: |
Size: 4202496 |
Author:chenjunkun |
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