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[Algorithm最优化的共轭梯度法

Description: 用于解决目标函数的最优化问题,目标函数自编,在vc++6.0中运行通过-objective function for the solution of optimization problem, the objective function writing, the vc++6.0 running through
Platform: | Size: 51200 | Author: 刘朝勇 | Hits:

[Mathimatics-Numerical algorithmsnsga-original

Description: 原始非支配多目标遗传算法,适用于多个目标函数的输入,多个变量的输入,非常经典的,基于非支配解排序。-original non-dominant multi-objective genetic algorithm applied to a number of objective function input, a number of input variables. very classic, based on the non-dominant solution ranking.
Platform: | Size: 318464 | Author: academic | Hits:

[Graph Recognizematlab1

Description: 编写优化的目标函数如下,其中将多目标转化为单目标采用简单的加权处理-Optimization of the preparation of the objective function as follows, in which multiple objectives into single objective, using a simple weighted handle
Platform: | Size: 2048 | Author: ljlj | Hits:

[matlabgatbx-target

Description: 常用matlab遗传算法目标函数的编写实例,如:双积分优化,收获系统,装载系统等-Matlab genetic algorithm commonly used objective function of the preparation of examples, such as: double-integrating optimization, harvest systems, loading systems, etc.
Platform: | Size: 2048 | Author: 熊梅西 | Hits:

[matlablbfgs.f90

Description: BFGS算法: 可以解决无约束的最优化问题,如求目标函数的极值等。-BFGS algorithm: can solve unconstrained optimization problems, such as seeking the extreme, such as the objective function.
Platform: | Size: 13312 | Author: 贺鹏 | Hits:

[matlabMatlabVB

Description: MATLAB具有强大的科学计算功能, 含有大量多目标优化分析函数。依据技术将函数在 环境下进行调用, 进行多目标优化集成系统开发, 实现数据的自动输入和输出功能, 编制了MATLAB与VB的数据接口代码, 提出程序设计时应注意的问题。-MATLAB has powerful scientific computing functions, contains a large number of multi-objective optimization analysis function. Based technology will function in the environment calls for multi-objective optimization of integrated system development, automated data input and output functions, the preparation of the MATLAB data interface with the VB code, the program design should pay attention to the problem.
Platform: | Size: 521216 | Author: 文华 | Hits:

[AI-NN-PRprogram

Description: 目标函数是De Jong函数,是一个连续、凸起的单峰函数-Objective function is De Jong function, is a continuous, convex function of the single-peak
Platform: | Size: 2048 | Author: 齐乐 | Hits:

[matlabmatlab

Description: 关于两个目标函数的,利用matlab遗传算法工具箱的优化程序。-The two objective function, using genetic algorithm matlab optimization toolbox procedures.
Platform: | Size: 1024 | Author: chenjuan | Hits:

[matlabGA

Description: 遗传算法 求解单目标问题,采用二进制编码(matlab)-using genetic algorithm to optimize Single-objective function
Platform: | Size: 1024 | Author: xiaxia | Hits:

[Algorithmlingo

Description: 用lingo进行多目标规划的范例,可在lingo9上运行-Using multi-objective programming lingo for example, can be run lingo9
Platform: | Size: 1024 | Author: 苏今墨 | Hits:

[Windows Developbiogeography_based_algorithm

Description: its an bigeography based optimization algorithm for multi objective function
Platform: | Size: 2048 | Author: viveksaparia | Hits:

[AI-NN-PRwebinar_files

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 | Hits:

[OtherParticle-Swarm-Optimization-Ebook

Description: 粒子群优化算法 电子书 带变异算子的粒子群优化算法.KDH 改进的多目标粒子群算法.caj 改进的基本粒子群优化算法.kdh 基于粒子群算法的多目标函数优化问题研究.NH 粒子群算法及其在布局优化中的应用.KDH 粒子群优化算法的惯性权值递减策略研究.caj 粒子群优化算法在多目标优化中的应用与仿真.KDH 粒子群优化算法综述.CAJ 微粒群优化算法及其改进形式综述.KDH 一种新的改进粒子群算法研究.KDH-Particle Swarm Optimization with Mutation Operator e-book particle swarm optimization algorithm. KDH improved multi-objective particle swarm optimization algorithm. Caj improved elementary particle swarm optimization algorithm. Kdh particle swarm optimization algorithm based on multi-objective function optimization studies. NH Particle Swarm Optimization layout optimization algorithm and its application. KDH Particle Swarm Optimization Algorithm Decreasing Inertia Weight Strategy Study. caj particle swarm optimization in multi-objective optimization and simulation. KDH Particle Swarm Optimization Algorithm. CAJ particle swarm optimization algorithm and to improve the form of synthesis. KDH a new improved particle swarm algorithm. KDH
Platform: | Size: 3533824 | Author: 姚思 | Hits:

[matlabObjective-function-extremum

Description: 采用了精确一维搜索法进行目标函数求极值,其中使用了黄金分割法,最速下降法和拟牛顿法。-Using the exact one-dimensional search method to the objective function extremum, which uses the golden section method, steepest descent and quasi-Newton method.
Platform: | Size: 1024 | Author: 海风 | Hits:

[Othermulti-objective-function-

Description: 多目标规划的遗传算法程序 用matlab编程语言编写-Planning of multi-objective genetic algorithm program written in Matlab programming language
Platform: | Size: 6144 | Author: 王君红 | Hits:

[Software EngineeringMulti-objective-optimization

Description: 用遗传算法求解多目标函数的最小值,方便、简单、快速。-More than the minimum value of the objective function using genetic algorithm, convenient, simple, fast.
Platform: | Size: 10240 | Author: 刘平 | Hits:

[matlabGA-for-Function-optimization

Description: 基于遗传算法的函数优化,利用遗传算法求出目标函数的最优值,适合初学matlab和遗传算法的学者下载学习。-The function of the genetic algorithm-based optimization, using genetic algorithms to determine the optimal value of the objective function, suitable for beginners of Matlab and genetic algorithm scholars download learning.
Platform: | Size: 24576 | Author: 一休 | Hits:

[Mathimatics-Numerical algorithmsfunction-optimization-GA

Description: 多元优化 单峰目标函数 多峰目标函数 遗传算法 matlab源码- multivariate optimization, Unimodal objective function, multimodal objective function, genetic algorithm ,matlab source
Platform: | Size: 1024 | Author: 卫芬 | Hits:

[OtherFuzzy-Objective-Function-Algorithms

Description: 研究模糊c均值聚类,Pattern Recognition with Fuzzy Objective Function Algorithms-Pattern Recognition with Fuzzy Objective Function Algorithms
Platform: | Size: 6410240 | Author: 半个王子 | Hits:

[matlabMulti-dimensional-function-GA

Description: 遗传算法处理多维目标函数,约束条件是不同范围下的独立条件。-Genetic algorithm processing multi-dimensional objective function, constraints are independent under the condition of different areas.
Platform: | Size: 3072 | Author: 孙少华 | Hits:
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