Description: 由于BP网络的权值优化是一个无约束优化问题，而且权值要采用实数编码，所以直接利用Matlab遗传算法工具箱。以下贴出的代码是为一个19输入变量，1个输出变量情况下的非线性回归而设计的，如果要应用于其它情况，只需改动编解码函数即可。
-As a result of BP network weights optimization is a constrained optimization problems, and weights to be used real-coded, so the direct use of Matlab genetic algorithm toolbox. Posted the following code is for a 19 input variables, an output variable in case of non-linear regression designed, if applied to other situations, simply change your codec function. Platform: |
Size: 2048 |
Author:王刚 |
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Description: 多目标优化进化算法目前公认效果收敛性最好的算法NSGA2源码，内有多目标算法的工具箱，对实现其他多目标优化算法很有帮助-Multi-objective optimization evolutionary algorithm is currently recognized as the effect of convergence of the algorithm NSGA2 best source, with a number of target algorithm toolbox for achieving the other multi-objective optimization algorithm for helpful Platform: |
Size: 370688 |
Author:wy |
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Description: 遗传算法工具箱，十分好用，不错的工具。包含大量例子-Genetic Algorithm Toolbox, very easy to use, good tool. Contains a large number of examples Platform: |
Size: 2002944 |
Author:刘波 |
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Description: 由于BP网络的权值优化是一个无约束优化问题，而且权值要采用实数编码，所以直接利用Matlab遗传算法工具箱。以下贴出的代码是为一个19输入变量，1个输出变量情况下的非线性回归而设计的，如果要应用于其它情况，只需改动编解码函数即可。程序需要调用gaot工具箱.-As a result of BP network weights optimization is a constrained optimization problems, and weights to be used real-coded, so the direct use of Matlab genetic algorithm toolbox. Posted the following code is for a 19 input variables, an output variable in case of non-linear regression designed, if applied to other situations, simply change your codec function. Procedures need to call gaot toolbox. Platform: |
Size: 4096 |
Author: |
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Description: 介绍了遗传算法的基本原理和求解流程, 详细阐述了Matlab 遗传算法工具箱的使用方法, 并通过使用遗传算法工具箱对一个典型的函数优化问题进行求解, 验证了该工具箱在解决函数优化问题上的有效性和实用性。-Introduce a genetic algorithm to solve the basic principle and flow in detail Matlab genetic algorithm toolbox to use, and by using genetic algorithm toolbox for a typical function optimization problems to solve, the validity of the toolbox in solving function optimization problems on the effectiveness and practicality. Platform: |
Size: 51200 |
Author:崔艳 |
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Description: 求解约束极小值问题的函数fmincon，fmincon是求解多维约束优化问题的优化工具箱函数-Problem solving constrained minimum function fmincon, fmincon is a multi-dimensional constrained optimization problems for solving the optimization toolbox function Platform: |
Size: 1024 |
Author:yu |
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Description: This a demonstration of how to find a minimum of a non-smooth
objective function using the Genetic Algorithm (GA) function in the
Genetic Algorithm and Direct Search Toolbox. Traditional derivative-based
optimization methods, like those found in the Optimization Toolbox, are
fast and accurate for many types of optimization problems. These methods
are designed to solve smooth , i.e., continuous and differentiable,
minimization problems, as they use derivatives to determine the direction
of descent. While using derivatives makes these methods fast and
accurate, they often are not effective when problems lack smoothness,
e.g., problems with discontinuous, non-differentiable, or stochastic
objective functions. When faced with solving such non-smooth problems,
methods like the genetic algorithm or the more recently developed pattern
search methods, both found in the Genetic Algorithm and Direct Search
Toolbox, are effective alternatives. -This is a demonstration of how to find a minimum of a non-smooth
objective function using the Genetic Algorithm (GA) function in the
Genetic Algorithm and Direct Search Toolbox. Traditional derivative-based
optimization methods, like those found in the Optimization Toolbox, are
fast and accurate for many types of optimization problems. These methods
are designed to solve smooth , i.e., continuous and differentiable,
minimization problems, as they use derivatives to determine the direction
of descent. While using derivatives makes these methods fast and
accurate, they often are not effective when problems lack smoothness,
e.g., problems with discontinuous, non-differentiable, or stochastic
objective functions. When faced with solving such non-smooth problems,
methods like the genetic algorithm or the more recently developed pattern
search methods, both found in the Genetic Algorithm and Direct Search
Toolbox, are effective alternatives. Platform: |
Size: 18432 |
Author:gao |
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Description: 书本《matlab神经网络应用设计》源码，对于利用遗传算法（GA）优化神经网络（NN）的程序部分，由于使用了GA工具箱中已经定义好的一些函数，因此，这部分程序必须拷贝到GA工具箱目录下才能运行，在本书中有:"第12章","第13章",以及"第20.5节"。另外，还包括该书本配套PPT教案。-Book " matlab neural network application design" source for the use of genetic algorithm (GA) optimization neural network (NN) part of the program, the use of GA toolbox already defined some function, so this part of the program must be copied to the GA Toolbox directory to run in this book are: " Chapter 12" , " Chapter 13" and " Section 20.5." In addition, the book also includes the supporting PPT lesson plans. Platform: |
Size: 4115456 |
Author:dream |
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Description: 遗传算法工具箱用于一维二维寻优示例matlab程序(The genetic algorithm toolbox for one and two-dimensional optimization example program) Platform: |
Size: 2048 |
Author:辛萍
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Description: 基于GA遗传算法工具箱的调用，用于多元函数的优化问题(Based on the call of the GA genetic algorithm toolbox, it is used for the optimization of multiple functions) Platform: |
Size: 1024 |
Author:刘南光 |
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Description: 这个例子显示了如何创建和管理功能的遗传算法遗传算法的全局优化工具箱的选项optimoptions。(This example shows how to create and manage options for the genetic algorithm function ga using optimoptions in the Global Optimization Toolbox.) Platform: |
Size: 12288 |
Author:hwyjack10 |
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Search - GA toolbox for optimization