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。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: 带约束算子的粒子群算法，用于matlab环境，对于搞研究的教师有很大帮助。-Operator Constrained Particle Swarm Optimization for the matlab environment, engage in research for teachers are very helpful. Platform: |
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Author:savvy |
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Description: 遗传算法优化源码，可以做约束优化问题或者是无约束优化问题的求解-Source of genetic algorithm optimization, constrained optimization problems can make or unconstrained optimization problem solving Platform: |
Size: 16384 |
Author:wulingyan |
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Description: 模拟退火算法matlab工具箱，可以用于多目标优化、约束优化等方面，配合进化算法使用，是难的的好工具-Simulated annealing algorithm matlab toolbox that can be used for multi-objective optimization, constrained optimization, etc., coupled with the use of evolutionary algorithms is a good tool for difficult Platform: |
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Author:bxingliu |
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Description: ％程序名称：求解约束优化问题的改进粒子群优化算法
％程序功能：求解带各种约束条件的优化问题
％输入条件：各种初始条件，以及设定参数
％输出数值：最优解位置以及函数极小值
- Program name: for solving constrained optimization problems to improve particle swarm optimization algorithm program features: solving with a variety of constraints optimization problem input conditions: a variety of initial conditions, and the setting of parameters output values: the location of the optimal solution, as well as function of the minimum Platform: |
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Author:依然 |
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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: 用于求解约束优化问题的算法，算法为差分进化/遗传算法/微粒群算法的融合。对于“[7] T. P. Runarsson and X. Yao, Stochastic ranking for constrained evolutionary optimization, IEEE Trans. Evol. Comput., vol. 4, no. 3, pp. 284-294, Sep. 2000”中给出的13个标准测试函数，均能得到问题最优解。如有任何疑问，请于http://2shi.phphubei.com.cn/index.php发帖询问，本人将详细解答。-Solving constrained optimization problems for the algorithm, Algorithm for Differential Evolution/Genetic Algorithm/Particle Swarm Optimization integration. For " [7] TP Runarsson and X. Yao, Stochastic ranking for constrained evolutionary optimization, IEEE Trans. Evol. Comput., Vol. 4, no. 3, pp. 284-294, Sep. 2000" given in 13 standard test functions, the optimal solution can be the problem. If you have any questions, please post http://2shi.phphubei.com.cn/index.php asked, I will answer in detail. Platform: |
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Author:李剑 |
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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: Two stage optimization algorithm is
proposed and investigated for fast computation of constrained power economic dispatch control problems.-Two stage optimization algorithm is
proposed and investigated for fast computation of constrained power economic dispatch control problems. Platform: |
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Author:cidadeus |
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Description: 本书包括无约束优化计算，约束优化计算，动态优化计算三部分。书中详细介绍了他们的算法原理和计算步骤。-This book includes unconstrained optimization, constrained optimization, dynamic optimization of three parts. The book details the principles of their algorithm and calculation steps. Platform: |
Size: 3258368 |
Author:jiang |
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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: |
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Author:reyhooon
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Search - optimization constrained