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改进的GA.
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!
-improved GA. Fga.m for the main program of genetic algorithm using binary Gray code, Based on the roulette method of nonlinear ranking choice, uniform crossover and mutat
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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!-The main genetic algorithm binary Gray code, roulette method based on linear ranking selection, uniform crossover and mutation, but also introduces the inversion operation!
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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.
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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
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This program runs a GA. The roulette wheel method for parent
selection is used here. Elitism is included. Parent selection is
from the population including the elite chromosomes. The standard
bit form is used here. As usual, code works in
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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
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遗传算法在求解旅行商问题中的应用，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 Traveling Salesman Problem, using a binary Gray code, roulette method based on linear ranking selection, uniform crossover and mutation operators, but also in
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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!
-The main program for the genetic algorithm binary Gray code, roulette method based on linear ranking selection, uniform crossover and mutation operators, but also introduces the invers
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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 main genetic algorithms binary Gray code, roulette method based on nonlinear ranking selection, uniform crossover and mutation, but also introduces the inver
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改进的GA. 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!-Improved GA. Fga.m main program for the genetic algorithm uses a binary Gray code, roulette method based on linear ranking selection, uniform crossover and mutation, but also
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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
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三个matlab实现的遗传算法，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-Three matlab genetic algorithm implemented using a binary Gray code, roulette method based on linear ranking selection, uniform crossover and mutation, but also introduces the inversi
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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 for the main program of the genetic algorithm binary Gray code, roulette method based nonlinear ranking selection, uniform crossover, mutation operation, but also the introduc
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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-The main program of the genetic algorithm binary Gray code, roulette method based nonlinear ranking selection, uniform crossover, and mutation operation, but also the introduction of invers
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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 for the main program of the genetic algorithm binary Gray code, based on the roulette method nonlinear ranking selection, uniform crossover and mutation, bu
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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!-Genetic Algorithm: Descr iption: fga.m the main program for the genetic algorithm using binary Gray code, roulette method based on nonlinear ranking selection, unifor
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用改进遗传算法求解TSP问题,并编制了完整的Matlab程序予以仿真实现.程序中选择算子采用最佳个体保存与赌轮选择相结合的策略,最后分析了最佳个体保存比例对寻优效果的影响. 更多还原-Improved genetic algorithm for TSP, and the preparation of a complete Matlab simulation program to be achieved. Program, select the operator uses the best in
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遗传算法，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!-Genetic algorithms described: fga.m main genetic algorithms binary Gray code, roulette method based on nonlinear ranking selection, uniform crossover, mutation, but also in
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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 main program for the genetic algorithm binary gray encoding, use based on roulette method of non-linear ranking selection, uniform crossover, mutation, and als
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多目标函数的遗传算法求解过程的编码，伪代码，轮盘赌算法(Multi objective function genetic algorithm to solve the process of coding, pseudo code, roulette algorithm)
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