Description: 用基于拉格朗日函数Hesse阵的SQP方法求解约束优化问题-Hesse matrix based on Lagrange function with the SQP method for solving constrained optimization problems Platform: |
Size: 2048 |
Author:蔡萃英 |
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Description: 基于GWBASIC实现的有约束转换寻优算法，内附GWBASIC主程序和说明-There are constraints on GWBASIC achieve conversion optimization algorithm, the main program and instructions included GWBASIC Platform: |
Size: 60416 |
Author:刘松 |
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Description: 外点罚函数方法，可以用来求解约束优化问题，也可以用来被调用在智能算法中-Point outside the penalty function can be used for solving constrained optimization problems, can also be used in intelligent algorithm called Platform: |
Size: 3072 |
Author:彭ph.D |
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Description: nsga2的c语言源程序，包含17个头文件，可实现二进制编码，实数编码的nsga2算法。并且可以设置约束条件，实现约束优化。-This is the source code of nsga2 in c, which contains 17 head files. It can realize the binary coding, real number coding nsga2 algorithm. What s more, it can set constraint conditions and realize the constrained optimization.
Platform: |
Size: 17408 |
Author:niu2niu2niu |
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Description: 最小二乘隐空间支持向量机
王玲 薄列峰 刘芳 焦李成
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在隐空间中采用最小二乘损失函数$提出了 最 小 二 乘 隐 空 间 支 持 向 量 机#0*&**52H 8
同 隐 空 间 支 持 向
量机#&**52H 一样$最小二乘隐空间支持向量机不需 要 核 函 数 满 足 正 定 条 件$从 而 扩 展 了 支 持 向 量 机 核 函 数 的
选择范围
8
由于采用了最小二乘损失函数$最小二乘隐空间支持向量机产生的优 化 问 题 为 无 约 束 凸 二 次 规 划$这 比
隐空间支持向量机产生的约束凸二次规划更易求解
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仿真实验结果表明所提算法在 计 算 时 间 和 推 广 能 力 上 较 隐 空
间支持向量机存在一定的优势
-In the hidden space, using the least square loss function space $ proposed least squares support vector machine hidden# 0* &** 52H 8
Space with the implicit support to the
The amount of machine# &** 52H $ as an implicit least squares support vector machines do not need space to meet definite conditions $ kernel function extends SVM kernel function
Range of options
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As a result of an implicit least squares loss function space $ least squares support vector machine optimization problem arising from the unconstrained convex quadratic programming for the $ than
Hidden space support vector machines produce more constrained convex quadratic programming solver
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Simulation results show that the proposed method in computation time and the ability to promote a more implicit empty
Between the support vector machine there is a certain advantage Platform: |
Size: 161792 |
Author:lux |
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Description: 基于hopfield神经网络解决线性约束优化问题，效果不错，运算精度高
-Based on the hopfield neural network to solve linear constrained optimization problem, the effect is good, operation precision is high Platform: |
Size: 1024 |
Author:潘婷婷 |
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Description: 解优化问题时常用的惩罚函数法，分为内点法和外点法两种，求解约束优化问题最优值。-Penalty function method, including interior point method and exterior point method, to solve the optimal value of constrained optimization problems. Platform: |
Size: 28672 |
Author:gaoshanliushui |
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Description: 用乘子法求解约束优化问题。使用实例进行说明。程序给出。-With the multiplier method to solve the constrained optimization problem. Program are given. Platform: |
Size: 3072 |
Author:selina |
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Description: 约束优化的复合型法，寻找优化问题的最优点和最优值-This function offers a function to solve the minimum point and minimum value of a constrained optimization problem by using complex method Platform: |
Size: 1024 |
Author:ZXD |
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Description: 优化工具箱提供fmincon函数用于对有约束优化问题进行求解-Optimal toolbox fmincon function to provide the constrained optimization solution Platform: |
Size: 116736 |
Author:yangna |
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Description: 这是一个多目标多参数无约束线性优化程序，其中包括三个具体的应用实例，对于解决非线性优化问题十分好用-This is a multiple target multi parameter non linear constrained optimization program, which includes three specific examples of application, to solve the nonlinear optimization problem is very easy to use Platform: |
Size: 54272 |
Author:qingfeng |
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Search - constrained optimization