利用PSO算法以及LMS滤波器进行ECG信号的降噪处理-Matlab

本代码包括多种智能计算算法（演化算法），包括人工蜂群，粒子群，洄游鱼群，灰狼优化等多种算法，利用这些算法对ECG信号进行降噪处理，效果显著。作为对比，LMS算法的代码也包含在其中，希望对大家有所帮助。

Application of Binary Adaptive Fish Migration Optimization Algor

As many redundant and irrelevant features exist, there is a challenge in classifying biology data. These features mislead the classication algorithms and increase the error rate of classication. Feature Selection (FS) can identify redundant features and remove them from the raw data to solve this problem. However, it is plagued by high computational costs and local optimization. The heuristic algorithm is utilized to solve this problem in this article. Adaptive Fish Migration Optimization.

Rotated Whale Optimization Algorithm

Algorithm Updated 2 minutes ago Wireless sensor network(WSN) attracts the attention of more and more researchers and it is applied in more and more environments. The localization information is one of the most important information in WSN. This pape proposed a novel algorithm called the rotated black hole(RBH) algorithm, which introduces a rotated optimal path and greatly improves the global search ability of the original black hole(BH) algorithm. Then, the novel algorithm is applied in reducing the localization error ofWSN in 3D terrain. CEC 2013 test suit is used to verify the performance of the novel algorithm, and the simulation results show the novel algorithm has better search performance than other famous intelligence computing algorithms. The localization simulation experiment results reveal the novel algorithm also has an excellent performance in solving practical problems.

sin、cos 智能计算方法.zip

该算法利用sin函数和cos函数，在优化区域内旋转着寻找最优解，效果不错。This paper proposes a novel population-based optimization algorithm called Sine Cosine Algorithm (SCA) for solving optimization problems. The SCA creates multiple initial random candidate solutions and requires them to fluctuate outwards or towards the best solution using a mathematical model based on sine and cosine functions.

鲸群智能优化算法.zip

鲸群算法是模仿抹香鲸捕食的一种算法，采用围绕猎物和泡泡攻击两种优化方式，在优化结果上明显优于PSO等传统算法

Parallel APSO自适应粒子群算法的并行化

对APSO进行并行化操作，显著的提高了APSO的性能。并行化是一种简单高效的优化方法

无线传感器网络定位技术Matlab代码

该代码给出了无线传感器网络中常用的几种定位方法，如DV-Hop、RSS等传统方法。

并行粒子群算法（Parallel PSO）C语言代码

通过将粒子群分为几个不同的组别，迭代一定次数便进行一次信息交流，以便更好的寻找最优值。

自适应学习粒子群（Adaptive Learning PSO）Matlab代码

在经典粒子群的基础上，该算法能自动的调整c1,c2,weight value等值，以实现更好更快的寻找最优值。

Matlab代码--经典粒子群算法PSO

基本的粒子群算法，测试数据为cec2013，能描绘数据的优化过程。最有值为-1400，-1300，...-100，100，200，...1400，共28个测试函数。