搜索资源列表
LTElinkDoc
- This document contains documentation how to use the Long Term Evolution (LTE) Link Level simulator [1] from the Vienna LTE simulator suite as well as some insight on its structure and the assumptions that were made while developing it. This docum
Constrained-Engineering-Optimization
- 将离散约束优化问题转化为非负整数约束规划问题，开发求解该问题的离散差分进化算法。该算法采用基于混沌映射 的种群初始化、双版本变异和带随机扰动项的取整运算等新策略。针对非线性约束条件，给出惩罚基数的计算方法和连续映 射基函数的表达式，在此基础上设计处理非线性约束的自适应惩罚因子。提出一种刻画种群多样性的新测度——种群二次平 均基因距离及基于新测度的依概率混沌移民算子。将自适应罚函数法、依概率混沌移民操作与离散差分进化算法有机融合， 构造面向工程约束优化的混合离散差分进化算法
DE
- 基于MATLAB平台的微分进化策略的实现-The realization of differential evolution strategy based on MATLAB
uTaskerV13
- uTasker program for lm3s8962 evolution board
lte111
- simulation of long term evolution
A-Fast-CRC-Implementation-on-FPGA
- CRC错误检测是一个非常 电信应用上常见的功能。 对提高数据速率的发展要求 更多和更sofisticated实现。 在本文中，我们提出了一个方法来实现 管道结构为基础的CRC功能 多项式除法。它非常有效地改善 高速性能，允许从1 Gb / s的数据传输速率 4千兆位/秒，基于FPGA implementions根据 并行化水平（8至32位）。- The CRC error detection is a very common functio
shuipingji
- 实现论文 Level Set Evolution Without Re-initialization: A New Variational Formulation 中提出的无需初始化的水平集计算方法，用于图像分割。-Paper the Level Set Evolution Without Re-initialization: A New Variational Formulation , no need to initialize the level set calculation meth
newESprog
- 求解全局优化问题的种群进化方法，试验设计-Solving global optimization problem of population evolution method, experimental design
test
- LEVEL SET算法，写得很清楚，好用。 -Level Set Evolution Without Re-initialization: A New Variational Formulation
LEVEL_SET
- 图像分割，应用是levelset的估算 好用。附有原文-Distance Regularized Level Set Evolution and Its Application to Image Segmentation
DeMat
- 微分进化算法matlab程序代码，可直接运行，给研究微分进化算法的朋友提供帮助-Differential evolution algorithm
yichuansuanfa
- 本演示程序模拟了在二维面板上随机排布的任意数量的个体,向适应度最高的属性值进化的过程。-This demo program to simulate any number of individuals randomly arranged in the two-dimensional panel, to adapt to the evolution of the highest property values .
DEYOUHUA
- 微分进化算法适用于全局优化无约束连续变量,很不错的的程序啊-The differential evolution algorithm for global optimization of unconstrained continuous variables, very good program, ah! ! !
GA
- 遗传算法（Genetic Algorithm）是一类借鉴生物界的进化规律（适者生存，优胜劣汰遗传机制）演化而来的随机化搜索方法。-Genetic Algorithm (Genetic Algorithm) is a kind of reference for the evolution of biology law (the survival of the fittest, superior bad discard Genetic mechanism) evolved random search
DE
- 编写改进的差分进化算法，并对神经网络进行优化-improved differential evolution algorithm to optimization the neural network
de
- Differential evolution
MODE
- Multi-objective differential evolution
ICDE
- 一种改进的微分进化算法解决约束优化问题，中南大学一位教授编写！-An improved differential evolution algorithm to solve constrained optimization problems
CMODE
- 一种改进的微分进化算法用于多目标优化，解决约束优化问题。-An improved differential evolution algorithm for multi-objective optimization to solve constrained optimization problems.
DEMat
- 微分进化优化算法，内含目前所有流行的微分算法-Differential evolution optimization algorithm, containing all popular differential algorithm