搜索资源列表
改进后的迷宫算法
- 迷宫算法程序学习，数据结构里的经典学习程序，代码经过自己的优化，加快了搜索速度-maze procedures learning algorithms, data structures of classical learning process, by its own code optimization to speed up the search process
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
toyFDTD
- This a translation of the ToyFDTD c code available from the web site http://www.borg.umn.edu/toyfdtd/ToyFDTD1.html This some optimization to use MATLAB matrix notation. Others may find a way to further optimize the nested loops.
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.
optimization.rar
- 最优化方法的一些基本算法的实现：1，0.618法；2，牛顿法；3，改进牛顿法；4，FR法；5，DFP法,Ways to optimize some of the basic algorithm implementation: 1,0.618 method 2, Newton' s method 3, improved Newton method 4, FR Act 5, DFP method
BFO.rar
- 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 o
Thesis-On-Cognitive-Radio
- This thesis aims to clearly describe the cognitive radio and its components and operations. Moreover, it aims on describing the expected outcome from the most common techniques that are proposed for use in cognitive radios. In addition, it describes
Optimization
- These are matlab and simulink files to model the membrane crystallization system, including the matlab file to get the optimation point of this system, and 3 simulink files, which are static model and 2 dynamic models. There has PID control and feed
optimization
- 最优化算法的总结，包括了主要的搜索算法，NP问题，遗传算法，神经网络，拉格朗日松弛，对计算机优化计算提供理论基础。-Summary of optimization algorithms, including the main search algorithm, NP problems, genetic algorithms, neural networks, Lagrangian relaxation, to provide a theoretical basis for computer op
Optimization_Toolbox
- MATLAB优化工具箱手册（英文版）介绍了一些标准的算法，适合初学者，-MATLAB Optimization Toolbox Manual (English), introduced a number of standard algorithms, suitable for beginners,
sine
- 用遗传算法优化神经网络权值 最后实现逼近sin函数曲线-Neural network using genetic algorithm optimization to achieve the right of the value of the final function curve approximation sin
optimization-methods-in-matlab
- 精通MATLAB优化计算随书光盘，含作者用matlab自编的优化算法，例子多，比较实用。-The CD attached to the book titled “mastering optimization methods in Matlab"。 It contains codes written by the author for all the computation examples in the book. Very pratical!
topology-optimization
- 拓扑优化的文章及代码。一种紧凑的matlab实现拓扑的水平集方法优化。-Topology optimization articles and code. Matlab to achieve a compact level set method of topology optimization.
lssvmMATLAB
- 本程序使用支持向量机法和粒子群算法，实现对数据的分类-This program uses support vector machine method and particle swarm optimization, to achieve the classification of data
genetic-optimization-to-solve-TSP
- 人工智能遗传算法优化解决TSP问题，很好用的代码-Artificial intelligence, genetic algorithm optimization to solve the TSP problem, a good code
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
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
SGLRO-Robust-Optimization-master
- 考虑不确定性的配电网经济调度问题，用列与约束算法解决。(Considering the uncertain economic dispatching problem of distribution network, the algorithm of column and constraint is used to solve the problem.)