搜索资源列表
c++ch01
- 一、教学目的： 要求掌握C++与C的区别。C++增强的基本内容。 C++编译运行的基本环境。 二、教学重点： C++与C的区别，以及C++增加的内容。 三、教学难点： C++中函数概念的扩展以及面向对象概念的理解。-First, teaching Objective: To request grasp C++ And C the difference. C++ Enhance the basic content. C++ Compiler to run the b
PL_Car
- The objective is to control a car with a preconfigured commands, like front 6, right 1, that means go front 6 seconds and turn 1 second.
Coordinate-rotation-method
- 用坐标轮换法求解目标函数，迭代时采用最优步长。-With coordinate rotation method to solve the objective function, the optimal iteration step.
weiji
- 人机对话 学习和熟悉DOS功能调用。 1. 程序执行后，首先询问： What’s your name？ 2. 要求用户键入回答，例如输入：lily。 3. 再次询问: Which class are you in？ 4. 要求用户再次键入回答，例如输入：CK09-12。 5. 回车换行。 6. 显示：Your name is lily，and your class is CK09-12. confirm(y/n)。 7. 如果回答y，退出程序；否则，
zlbPSO
- 多目标粒子群的基本源代码，两个目标的源代码-Multi-objective particle swarm basic source code, source code in two target
matlab
- 层次分析法，大家分享一下，关于多目标分析的程序，求特征值-AHP, we share on multi-objective analysis program, find the eigenvalues
matlab
- MATLAB实现多属性目标决策选择，从而选择最优的决策-MATLAB to achieve multi-attribute objective decision making the choice to select the optimal decisions
NSGA-II
- 运行数据是吸纳粒子群算法的精华，是先多目标优化。-Run data to absorb the essence of the particle swarm algorithm is the first multi-objective optimization.
zhifangtujiansuo
- 基于内容的图像检索（Content-based Image Retrieval，简称CBIR）技术被提出。这一技术的出现提高了图像检索的准确性，它通过提取图像本身的内在客观特征如颜色、纹理、形状、布局等关系，并比较这些视觉特征间的相似性，自动搜索出符合用户要求的图像。-Content-based image retrieval (Content-based Image Retrieval, referred to as CBIR) techniques have been proposed. T
GAalgorithm
- 解决多目标分配问题程序，可以将此程序应用到类似问题，如拖轮调度等-Solve multi-objective allocation procedures can be applied to similar problems in this program, such as the tugboat scheduling
code
- The Tabu search (NMTS) algorithm to solve a multiobjective fuzzy model for optimal planning of distribution systems. This algorithm obtains multiobjective nondominated solutions to three objective functions: fuzzy economic cost, level of fuzzy reliab
mization
- Recently more research works are focused on multi-objective particle swarm optimization algorithm (MOPSO) due to its ability of global and local search for solving multi-objective optimization problems (MOOPs) however, most of existing MOPSOs can
cakephp-3.1.4
- CakePHP是一个快速开发PHP的开发框架，其中使用了一些常见的设计模式如ActiveRecord，Association Data Mapping，Front Controller以及MVC。其主要目标在于提供一个令任意水平的PHP开发人员都能够快速开发web应用的框架，而且这个快速的实现并没有牺牲项目的弹性。-CakePHP is a rapid development framework for PHP development, which uses some common design
nsga2code
- 一个关于多目标优化算法的程序，经典遗传算法求解多目标优化问题源码-Classical genetic algorithm for solving multi-objective optimization problem source
gene_test
- y=f(x,y,z...)基于遗传算法的单一目标函数寻求最优或者最小极值点-Single objective function optimization based on GA
m-particle-swarm-optimization
- 多目标粒子群算法，在基本粒子群算法的基础上进行了改进，程序简单明了。-Multi-objective particle swarm algorithm based on particle swarm algorithm has been improved, the program is simple and straightforward.
SGA
- 多目标遗传算法，有一些局限性，仅供学习参考-Multi-objective genetic algorithm, there are some limitations, only for reference
yichuan
- 基于神经网络与遗传算法的多目标函数优化求解程序-Multi objective function is based on neural networks and genetic algorithm optimization solver
GA-vrp
- 运输成本、货损成本、时间成本等的配送成本最小化和以模糊时间窗进行量化的客户满意度最大化的多目标优化模型，采用改进遗传算法求解带模糊时间窗冷链配送问题。-A multi-objective optimization model to minimize the cost of transport and distribution costs, damage costs, costs of time and to quantify fuzzy time window to maximize custo
rar
- powell算法设计 鲍威尔法又称方向加速法，它由Powell于1964年提出，是利用共轭方向可以加快收敛速度的性质形成的一种搜索方法。该方法不需要对目标函数进行求导，当目标函数的导数不连续的时候也能应用，因此，鲍威尔算法是一种十分有效的直接搜索法。 Powell法可用于求解一般无约束优化问题，对于维数n<20的目标函数求优化问题，此法可获得较满意的结果。 不同于其他的直接法，Powell法有一套完整的理论体系，故其计算效率高于其他直接法。该方法使用一维搜索，而不是跳跃的探测步。同时