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Genetic Programming MATLAB Toolbox
遗传算法程序很好-Genetic Programming MATLAB Toolbox GA - good order
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一种快速简单的遗传算法程序,基于Matlab7,加入特殊的交叉算子和变异算子,使算法更快。,SpeedyGA is a vectorized implementation of a genetic algorithm in the Matlab programming language.SpeedyGA has been created and tested under Matlab 7 (R14). Added mutation and crossover mask pregeneration
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遗传算法编程求解旅行商问题;图论中最短路问题的Matlab程序实现;背包问题模型的Matlab程序实现。,Genetic Algorithm for Solving Traveling Salesman Problem programming graph theory, shortest path problem in the Matlab program implementation knapsack problem Matlab model implementation process.
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一个遗传规划的源程序,matlab语言编程-A source of genetic programming, matlab language programming
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这是一个解决tsp问题的代码,采用遗传的方法进行编程,大大的简化了最优规划迭代的问题,是的程序运行的快速准确-This is a solution to the problem tsp code, using the method of genetic programming, which greatly simplified the problem of optimal planning iteration, the procedure is fast and accurate operati
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这是龚纯《精通MATLAB最优化计算》随书源码(M文件)。基于MATLAB优化工具箱,代码包含的内容有:牛顿法等无约束一维极值问题、单纯形搜索法等无约束多维极值问题、Rosen梯度投影法等约束优化问题、L-M法等非线性最小二乘优化问题、线性规划、整数规划、二次规划、粒子群优化、遗传算法。-This is pure Gong " Mastering MATLAB optimization calculations," with the book source (M file)
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The Source of Genetic Programming developed in Matlab
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非线性整数规划问题,基于遗传算法的matlab程序-Nonlinear integer programming problems, based on genetic algorithm matlab program
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用遗传算法优化BP神经网络的Matlab编程实例-Using genetic algorithm BP neural network programming examples Matlab
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本程序是基于非线性整数规划的遗传算法所编写的Matlab程序-This procedure is based on the non-linear integer programming genetic algorithm written Matlab program
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Grefenstette编码法的MATLAB实现 本文在MATLAB环境下编程实现针对TSP问题的Grefenstette编码法,并将其同基本遗传算法相结合,仿真求解一个
15点的TSP问题-Grefenstette coding method to achieve this paper, the MATLAB environment in MATLAB programming for the TSP problem Grefenstette coding method and geneti
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Matlab遗传算法工具箱及应用》源码,学习遗传算法编程的朋友很有用,内容讲的很仔细-Matlab Genetic Algorithm Toolbox, and Applications " source code, learning genetic algorithm programming friend of useful content speak very carefully
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向量化的遗传快速遗传算法,是M.Mutchell 的遗传算法书中 10,11 业的经典快速算法-SpeedyGA is a vectorized implementation of a genetic algorithm in the Matlab programming language. Without bells and whistles, it faithfully implements the specification for a Simple GA given on pgs 10,
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< 控制系统计算机辅助设计--MATLAB语言与应用>>系统地介绍了国际控制界最流行的控制系统计算机辅助设计语言MATLAB,侧重于介绍MATLAB语言编程基础与技巧、数学问题的MATLAB求解、线性系统计算机辅助分析、控制系统与其他复杂系统的Simulink建模,控制系统的计算机辅助设计方法,包括串联控制器、状态反馈控制器、多变量系统频域设计、PID控制器设计、最优控制器设计、LQG/LTR控制器设计、H2=H1 最优控制、分数阶控制、自适应控制、模糊控制、神经网络控制、遗传
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基于遗传算法BP网络预测,代码没有使用遗传工具箱,而是根据遗传算法理论进行编程,有助于理解遗传算法原理-BP network prediction based on genetic algorithm, the code does not use genetic toolbox, but according to the theory of programming genetic algorithms, help to understand the principles of genetic a
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一种新的改进的遗传编程,调用的子函数描述的很清晰,涵盖了经典遗传编程的所有步骤,方便大家的学习和参考-A new and improved genetic programming, call the subroutine described in very clear and covers all the steps of classical genetic programming, we facilitate learning and reference
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matlab用法 主要用于线性规划,非线性规划,解决优化问题,作出最合理的决策等遗传算法程序-matlab usage is mainly used for linear programming, nonlinear programming to solve optimization problems, make the most rational decision-making, genetic algorithm
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genetic programming algorithm source code
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Genetic Programming toolbox descr iption
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利用遗传程序设计建立电力系统的负荷模型,无需像传统方法一样预先确定具体的模型结构,它能根据输入输出数据直接演化出变量间的函数关系,并且能够一次性的同时确定函数的结构形式和参数,使得模型的生成过程趋于智能化、自动化,解决了负荷建模工作中长期困扰的模型辨识问题。(Genetic Programming(GP) is a new evolutionary algorithm based on genetic algorithm,which has self-adaptive,self-organizi
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