Description: 本文提出一种基于增广拉格朗日法的非线性约束优化算法用于独立成份分析(ICA), 仿真试验结果表明此方法可以有效的用于独立成份的分离. -This paper presents a broad-based increase Lagrange method of nonlinear constrained optimization algorithm for the independent component analysis (ICA), the simulation results show that this method can be effective for the separation of independent components. Platform: |
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Author:周周 |
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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-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 Platform: |
Size: 60416 |
Author:yingengdog |
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Description: PSO算法求解带约束优化问题,包含所有源程序和运算图片。写论文是编的。-PSO algorithm for solving constrained optimization problems, including all source code and the computing picture. Writing papers is made of. Platform: |
Size: 289792 |
Author:高显忠 |
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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: |
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Author:yu |
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Description: 约束最优化方法--最速下降法(也叫梯度法),是人们用来求多个变量函数极值问题的最早的一种方法。-Constrained optimization methods- steepest descent method (also known as gradient method), is used for multiple variables function Extremum Problems earliest methods. Platform: |
Size: 2048 |
Author:anytry |
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Description: the book provides many solved examples that illustrate the principles involved,
and includes, in addition, two chapters that deal exclusively with applications of
unconstrained and constrained optimization methods to problems in the areas of
pattern recognition, control systems, robotics, communication systems, and the
design of digital filters. For each application, enough background information
is provided to promote the understanding of the optimization algorithms used
to obtain the desired solutions. Platform: |
Size: 4128768 |
Author:曹继海 |
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Description: 细菌觅食随机优化论文及matlab源码。该算法属于进化算法的一种,可以处理全局优化、多目标优化、约束优化和动态优化等问题。-Bacterial feeding stochastic optimization papers and matlab source code. The algorithm belongs to a kind of evolutionary algorithm that can deal with global optimization, multi-objective optimization, constrained optimization and dynamic optimization problems. Platform: |
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Author:bxingliu |
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Description: 用基本遗传算法求解一维无约束优化问题
用顺序选择遗传算法求解一维无约束优化问题
用动态线性标定适应值的遗传算法求解一维无约束优化问题
用大变异遗传算法求解一维无约束优化问题
用自适应遗传算法求解一维无约束优化问题
用双切点遗传优化求解一维无约束优化问题
用多变异位自适应遗传优化求解一维无约束优化问题
-The basic genetic algorithm with one-dimensional sequence of unconstrained optimization problems using genetic algorithm selected one-dimensional non-linear constrained optimization problem of dynamic calibration of genetic algorithm to adapt to the value of one-dimensional unconstrained optimization genetic algorithm with a large variation of one-dimensional unconstrained adaptive genetic algorithm for optimization problem solving unconstrained optimization problems one-dimensional cut by two-dimensional point of GA for solving a problem of unconstrained optimization adaptive genetic optimization with variable ectopic solving one-dimensional unconstrained optimization problem Platform: |
Size: 6144 |
Author:胖子 |
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Description: 有约束最优化问题:利用matlab中已有的函数。举了一个利用里面函数求最小值的例子。这是最优化与运筹学中会经常遇到的问题-Constrained optimization problem: using the matlab existing function. For a use inside function minimise example. This was the optimized and operations research will often encounter problems
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Size: 1024 |
Author:刘丹丹 |
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Description: 包含所有约束优化问题中涉及的matlab源程序。包含Rosen梯度法求解约束多维函数的极值,外点罚函数法解线性等式约束,外点罚函数法解一般等式约束,内点罚函数法,混合罚函数法,混合罚函数加速法,乘子法,坐标轮换法及复合形法-Contains all the constrained optimization problem involves matlab source. Contains Rosen gradient method for solving constrained multi-dimensional function extremum, external point penalty function method for solving linear equality constraints, external point penalty function method for solving general equality constraints, interior point penalty function method, mixed penalty function method, mixed penalty function acceleration method , multiplier method, the coordinate rotation method and complex method Platform: |
Size: 7168 |
Author:陈陈 |
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Description: In mathematical optimization, constrained optimization (in some contexts called constraint optimization) is the process of optimizing an objective function with respect to some variables in the presence of constraints on those variables. The objective function is either a cost function or energy function which is to be minimized, or a reward function or utility function, which is to be maximized. Constraints can be either hard constraints which set conditions for the variables that are required to be satisfied, or soft constraints which have some variable values that are penalized in the objective function if, and based on the extent that, the conditions on the variables are not satisfied. Platform: |
Size: 38912 |
Author:reyhooon
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