搜索资源列表
XP使用
- 可以将你的xp系统优化到极致- May yours xp system optimization to 鏋佽嚧
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
Image-Edge-Detection-Using-Ant-Colony-Optimization
- This a demo program of image edge detection using ant colony, based on the paper, "An Ant Colony Optimization Algorithm For Image Edge Detection," 基于蚁群算法的图像边缘检测。IEEE于2008收录的文章.有matlab源程序和“An Ant Colony Optimization Algorithm For Image Edge Detectio
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
- These M-files are implementations of the algorithms from the book "Iterative Methods for Optimization", to be published by SIAM, by C. T. Kelley. The book, which describes the algorithms, is available from SIAM (service@siam.org).
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!
liziqun
- 利用粒子群算法做的关于基于指数熵对数熵TSALLIS熵的多阈值的图像分割，内附无优化算法，可以做时间比较-Using particle swarm optimization to do on the entropy-based index of the number of entropy TSALLIS entropy of multi-threshold image segmentation, containing no optimization, can do more time
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
Genetic-optimization-of-C-clustering
- 运用遗传优化算法优化模糊C均值聚类，通过全局自适应寻优，寻找出更为精确的模糊聚类中心-Using genetic optimization algorithm to optimize the fuzzy C-means clustering, global adaptive optimization to find a more precise fuzzy clustering center
Power-Optimization
- 电力系统无功优化对确保电力系统优化运行具有重要作用,它直接关系到电力系统运行的安全性与经济性。在已有研究成果的基础上,提出了单目标／多目标的导向搜索算法与单目标／多目标的动态多群体自适应差分进化算法,对电力系统静态单目标无功优化、静态多目标无功优化、动态单目标无功优化、动态多目标无功优化、典型函数优化等问题进行了深入的研究和探讨。-Reactive power optimization to ensure the optimal operation of the power system pla
Using-Bee-Colony-Optimization-to-Solve-the-Task-S
- Using Bee Colony Optimization to Solve the Task Scheduling Problem in Homogenous Systems
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
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.)