搜索资源列表
FFR-optimization
- this code is very useful to analyse and work on the femtocells and interference mitigation techniques in the 4G technologies. And it is very good and useful.
ant-colony-optimization-algorithm
- 建立了带约束条件的物流配送问题的数学模型，运用蚁群算法解决物流配送路径 优化问题，并将遗传算法的复制、交叉、变异等遗传算子引入蚁群算法，同时改进信息素的 更新方式、客户点选择策略，以提高算法的收敛速度和全局搜索能力。经过多次实验和计算 ，证明了用改进的蚁群算法优化物流配送线路，可以有效而快速地求得问题的最优解或近似最 优解。-A mathematical model with the constraints of logistics and distribution issues,
Genetic-algorithm-optimization-index
- 基于遗传算法,用10个股票的组合来优化模拟沪深300指数-Based on the genetic algorithm, using 10 stock portfolio to optimize simulation CSI 300 Index
cmmxlsimport
- 经优化后的xls文件导入到dbf文件的表单,dbf文件请自己创建-By importing the XLS file after the optimization to the DBF file form, please create your own DBF file
Truss_Solver_and_Genetic_Algorithm_Optimzer
- This function is for optimization. To be specific, name of file is Truss_Solver_and_Genetic_Algorithm_Optimzer. With last function, you can try build up bridge as an example.
Software-IA-03-Particle-swarm-optimization-em-Mat
- In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality.
Tradeoffs-and-Optimization-in-Analog-CMOS-Design(
- In this book, David has brought together all the important bricks required to build up a consistent and practical design methodology that can now be applied efficiently to the design of analog CMOS circuits.
the-distribution-system-optimization
- 对配电系统多节点的优化并将其对比，使配电系统的节点优化更方便快捷-Multi-node distribution system optimization and contrast, so nodes to optimize the distribution system more convenient
advanced-optimization
- introduction to optimization是一本介绍优化方法的很好的书籍，对各个行业的优化编写、MATLAB程序编写、或者优化入门具有重要的指导价值，建议通读。-introduction to optimization is a very good book describes optimization methods to optimize the preparation of various industries, MATLAB programming, or optimize
pso_1
- 粒子群优化寻找最适合的核函数和惩罚因子，为了更好的进行故障分类判断-Particle swarm optimization to find the most suitable kernel function and penalty factor, in order to judge the fault classification
OptimizatioN
- 液压支架优化设计C#源码，主要实现功能有，建立液压支架选型通用模型，支持设计参数的导入导出，支持后台Access数据连接，实现液压支架力学和运动学分析，有二维的动画模拟演示。对学习二维绘图也有一定帮助.还实现了一些科学计算算法。-Optimal design of hydraulic support C# source code, the main function, the establishment of a common model selection hydraulic support,
PSOPID
- 实现粒子群算法的PID控制功能，针对具体算例得出运行结果-Particle swarm optimization to achieve PID control functions, specific examples drawn operating results
tsp
- 遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法 遗传算法的基本运算过程如下： a)初始化：设置进化代数计数器t=0，设置最大进化代数T，随机生成M个个体作为初始群体P(0)。 b)个体评价：计算群体P(t)中各个个体的适应度。 c)选择运算:将选择算子作用于群体。选择的目的是把优化的个体直接遗传到下一代或通过配对交叉产生新的个体再遗传到下一代。选择操作是建立在群体中个体
tree-to-indented-text
- 算法实现了用缩格的文本形式表示任一树的节点数据的功能，代码简洁优化，含说明文档。-Algorithm functions with text indentation represents any tree node data, concise code optimization, including documentation.
Particle-swarm-optimization
- 粒子群算法，实现多维参数寻找最优解，含有代码说明-Particle swarm optimization, multi-dimensional parameters to find the optimal solution containing code Descr iption
rotating-beam-optimization
- 对一个旋转的梁经行分析，希望通过优化，使得它的质量分配能够满足指定的频率要求（第一阶固有频率1.1左右，第二阶2.5左右，第三阶4.5左右。）-rotating beam to accomplish the frequency optimization
BPnetwork-genetic-optimization
- 采用matlab软件进行实现的遗传算法优化的BP神经网络。-Using genetic algorithm to optimize BP neural network to realize matlab software.
genetic-cuckoo-optimization-algorithm-gcoa.txt.zi
- n this paper, Optimization is considered as the main impact of insight problem and heuristic methods. A proposed method is represented by using two optimization algorithms cuckoo optimization is heuristic method and Genetic algorithm is meta-heuristi
hoopoe-heuristic-optimization.txt
- Most optimization problems in real life applications are often highly nonlinear. Local optimization algorithms do not give the desired performance. So, only global optimization algorithms should be used to obtain optimal solutions. This paper propose
ant-colony-optimization
- Large-scale problems are nonlinear problems that need metaheuristics, or global optimization algorithms. This paper reviews nature-inspired metaheuristics, then it introduces a framework named Competitive Ant Colony Optimization inspired by the chemi