搜索资源列表
optimization demos
- 介绍采用matlab语言，来实现优化算法，有很好的例子程序，对学习优化算法很有帮助-introduction to Matlab language, to achieve optimization algorithm, a very good example of procedure, to learn useful optimization algorithm
Multidirectional search for optimization
- 多目标下优化搜索-multi-objective optimization under Search
Iterative Methods for Optimization
- Matlab code: Iterative Methods for Optimization
BP_GA.用BP网络建立映射关系
- 用BP网络建立映射关系，为遗传算法提供适应度函数，通过改进遗传算法完成最小值优化,the mapped relation is built using BP network in order to provide fitness function for genetic algorithm. At last, optimization of minimum value is finished by genetic algorithm.
GASVM.用遗传算法进行特征选取和svm参数优化的程序
- 用遗传算法进行特征选取和svm参数优化的程序。遗传算法工具箱goat已在压缩包 需要安装libsvm就可以直接运行。数据集采用UCI中的german数据集，并完成归一化操作,Genetic algorithm with feature selection and parameter optimization svm procedures. Genetic Algorithm Toolbox in goat need to install libsvm package can be run dir
GABP.利用改进遗传优化算法解决BP神经网络中局部最小问题
- matlab格式源代码。功能：利用改进遗传优化算法解决BP神经网络中局部最小问题。,matlab source code format. Function: the use of improved genetic optimization algorithm BP neural network to solve local minimum problems.
l1magic-optimization 代码实现稀疏表示中的l1范式中的7个优化问题
- 代码实现稀疏表示中的l1范式中的7个优化问题。对大家实现稀疏表示算法有极大的参考价值-This package contains code for l1 magic solving seven optimization problems.
advancedxpathanalyzer.zip
- 在xml查询中优化RPE查询的东西,Xml query optimization in RPE query things
Optimization-theory-and-methods-
- 最优化理论的课件 也是我去年上课时自己保留的课件 很实用 里面的算法 简单明了-Optimization theory courseware is also very practical courseware in my class last year retained inside the algorithm is simple
Optimization routines for MATLAB
- Optimization routines for MATLAB developed by James LeSage
optimization using MOEAD
- optimization using moead. for continuos and knapsack combinatorial optimization
Optimization
- 针对最优化问题的Matlab 的几个程序(Several procedures of Matlab for optimization problems)
Whale-Optimization-Algorithm
- This function initialize the first population of search agents f each variable has a different lb and ub f each variable has a different lb and ub Whale-Optimization-Algorithm
Practical Optimization.pdf
- 优化问题。作者：陆吾生教授，他是加拿大维多利亚大学电气与计算机工程系的教授。(practical optimization)
Constrained Optimization
- 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 objectiv
Whale Optimization Algorithm (WOA)
- Whale Optimization Algorithm (WOA)
optimization and shift control
- Gear ratio optimization and shift control of 2-speed I-AMT in electric vehicle
two-stage robust optimization
- 我们提出了一种列和约束生成算法来解决两阶段鲁棒优化问题。 与现有的Benders式切割平面方法相比，柱式和约束生成算法是一种通用的程序，采用统一的方法来处理最优性和可行性。 对两阶段稳健位置传输问题的计算研究表明，它的执行速度提高了一个数量级。(we present a column-and-constraint generation algorithm to solve two-stage robust optimization problems. Compared with existing
convex-optimization
- 权威凸优化学习资料，清华大学研究生课程资料。(Authority convex optimization learning materials, Tsinghua University graduate course materials.)
Function optimization algorithm
- 遗传算法提供了求解非线性规划的通用框架，它不依赖于问题的具体领域。遗传算法的优点是将问题参数编码成染色体后进行优化， 而不针对参数本身， 从而不受函数约束条件的限制； 搜索过程从问题解的一个集合开始， 而不是单个个体， 具有隐含并行搜索特性， 可大大减少陷入局部最小的可能性。而且优化计算时算法不依赖于梯度信息，且不要求目标函数连续及可导，使其适于求解传统搜索方法难以解决的大规模、非线性组合优化问题。(Genetic algorithm provides a general framework f