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Description: matlab中运行
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Size: 5860 |
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Description: 有用的SGA的Matlab源代码，求函数的最大值，根据SGA的C代码改变，很容易懂，对SGA 学习很有帮助-useful SGA Matlab source code, the maximum demand function, According to the SGA C code change, it is easy to understand and very helpful to SGA
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Size: 2026 |
Author: 李洁薇 |
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Description: 遗传算法中的简单遗传算法，用matlab实现。-genetic algorithm simple genetic algorithm, using Matlab to achieve.
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Size: 20435 |
Author: 江东 |
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Description: matlab中运行-matlab run
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Size: 6144 |
Author: 王久兴 |
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Description: 遗传算法中的简单遗传算法，用matlab实现。-genetic algorithm simple genetic algorithm, using Matlab to achieve.
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Size: 20480 |
Author: 江东 |
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Description: 用matlab自编写的简单遗传算法程序(SGA)
-using Matlab since the preparation of a simple genetic algorithm (SGA)
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Size: 2048 |
Author: 刘洪文 |
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Description: 有用的SGA的Matlab源代码，求函数的最大值，根据SGA的C代码改变，很容易懂，对SGA 学习很有帮助-useful SGA Matlab source code, the maximum demand function, According to the SGA C code change, it is easy to understand and very helpful to SGA
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Size: 2048 |
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Description: GA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。
本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值啦）
并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；-GA (Simple Genetic Algorithm) is a powerful, intelligent multi-variable optimization algorithms, which mimic the breeding populations of the law to be optimized. SGA can optimize this variable, and the minimum value, maximum value (when the function of the countdown you will seek the minimum value) and to support the floating-point encoding, grey code, binary code round of gambling options, tournament selection single-point crossover, uniform Cross, floating-point crossover single point mutation, floating-point variation
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Size: 9216 |
Author: yuandi |
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Description:
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Size: 5120 |
Author: fdjk |
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Description: 基本的遗传算法matlab语言实现，可变换其中的目标函数，实现计算-Basic genetic algorithm matlab language can transform one of the objective function, the realization of the calculation
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Size: 2048 |
Author: 刘军海 |
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Description: 基于MATLAB遗传算法(SGA)实现
基于MATLAB遗传算法(SGA)实现-MATLAB based genetic algorithm (SGA) based on MATLAB genetic algorithm (SGA) to achieve
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Size: 168960 |
Author: 陈玲 |
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Description: 基本遗传算法的matlab源程序，bstr2rval.m为基本编码转为实际值子函数，createPop.m创建初始种群子函数，crossOper.m基因交叉子函数，indiEval.m个体实际值子函数，mutateOper.m基因变异子函数，selectOper.m选择算子子函数，sga.m基本遗传算法子函数-The basic genetic algorithm matlab source, bstr2rval.m as the basic coding to the actual value of Functions, createPop.m create initial population Functions, crossOper.m gene cross-Functions, indiEval.m individual actual value Functions, mutateOper. m gene mutation Functions, selectOper.m selection operator Functions, sga.m basic genetic algorithm Functions
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Size: 4096 |
Author: 闫安心 |
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Description: 由我收集或写出的GA源码，包括GA、SGA、AGA、TSPGA、GAPID、NSGA、NSGA2等。-From my collection or write source of the GA, including the GA, SGA, AGA, TSPGA, GAPID, NSGA, NSGA2 and so on.
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Size: 445440 |
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Description: 遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法，它最初由美国Michigan大学J.Holland教授于1975年首先提出来的，并出版了颇有影响的专著《Adaptation in Natural and Artificial Systems》，GA这个名称才逐渐为人所知，J.Holland教授所提出的GA通常为简单遗传算法（SGA），遗传算法简单源程序。-Genetic Algorithm (Genetic Algorithm) is a simulation of the biological theory of evolution Darwin' s natural selection and genetic mechanism of the process of biological evolution computing model is a natural evolutionary process by simulating the optimal solution search methods, it was first introduced by J. Holland United States University of Michigan Professor in 1975, first put forward, and published influential monographs " Adaptation in Natural and Artificial Systems" , GA gradually known the name, J. Holland, Professor of GA are usually made by a simple genetic algorithm (SGA ), a simple genetic algorithm source code.
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Size: 104448 |
Author: 周武静 |
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Description: 基于Matlab的遗传算法~是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法，它最初由美国Michigan大学J.Holland教授于1975年首先提出来的，并出版了颇有影响的专著《Adaptation in Natural and Artificial Systems》，GA这个名称才逐渐为人所知，J.Holland教授所提出的GA通常为简单遗传算法（SGA）。-SGA
《Adaptation in Natural and Artificial Systems》
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Size: 7168 |
Author: 蒋鑫 |
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Description: 提出一种改进的遗传算法用于求解机械手运动学逆问题. 该算法采用实数编码, 其交叉概率和变异
概率根据解的适应度函数值自适应调整. 计算机仿真结果显示, 该算法较简单遗传算法(SGA) 求解精度高,
收敛速度快且稳定性能好.-An improved genetic algorithm for solving the inverse problem of manipulator kinematics. The algorithm uses real number encoding, the crossover probability and mutation probability according to the fitness function value of solution adaptive. Computer simulation results show that the algorithm is relatively simple genetic algorithm for (SGA) for solving high precision, fast convergence and stable performance is good.
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Size: 143360 |
Author: 杨元龙 |
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Description: 单体生长算法（SGA）的matlab程序实现，提取10个端元-Single growing algorithm (SGA) in the matlab program to achieve the extraction of 10 end-
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Size: 3803136 |
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Description: 解决遗传算法MATLAB编程，有助于初学者借鉴。-Solve the genetic algorithm MATLAB programming, help for beginners to learn from.
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Size: 4096 |
Author: 王林 |
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Description: 高光谱，最大单形体算法，SGA，MATLAB的工具箱，可以直接使用-Hyperspectral, the largest single body algorithm, SGA, MATLAB toolbox can be used directly
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Size: 1746944 |
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Description: 实现简单遗传算法matlab编程,实现多值函数优化，找到最优解实现函数收敛(The realization of a simple genetic algorithm matlab programming, realize the optimization of multi function value, find the optimal solution to achieve the function of convergence)
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Size: 20480 |
Author: swan95 |
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