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Biogeography-Based optimization生物地理学优化算法

一种新的智能优化算法,与PSO GA ABC DE等常用的优化算法相比具有更好的算法寻优效果和收敛速度。该算法2008年发表在IEEE TEC上,基本思想是基于生物地理学的不同物种迁移理论,是近年来在工程应用领域获得广泛运用的优化算...
  算法        Matlab     

pso code for optimization

function [pa,mi]=PSO(R,F)    D=3;                   ps=10;                  VRmin=ones(D,1)*-20;    VRmax=ones(D,1)*20;    VR=[VRmin,VRmax];  %minmax = 1;    ...
  Optimization        Matlab     

粒子群优化算法

In 计算机科学, 粒子群优化(PSO) 是一种计算方法,优化由一个问题以迭代方式试图改善候选人的解决方案关于某项措施的质量。PSO 优化问题,在人口为候选的解决方案,在这里被称为的粒子,和在中移动这些粒子搜索空间根据简...
  Matlab        Matlab     

遗传优化算法

在计算机科学领域,遗传算法是人工智能的一个搜索启发式的模仿自然选择的过程。这启发式算法经常用于生成有用的优化与搜索问题的解决方案。 在这个文件中,我提供了一个完全注释、 平原和明显的代码找任何函数的...
  Matlab        Matlab     

Applied+optimization+with+MATLAB+Programming

The attachment is all the codes which are from the book named Applied+optimization+with+MATLAB+Programming. It contains a PDF document which is the book and the codes of all the examples from the book from chapter 1 to chapter 10...
  Matlab        Matlab     

Gradient descent optimization

Gradient descent is a first-order optimization algorithm. To find a local minimum of a function using gradient descent, one takes steps proportional to the negative of the gradient(or of the approximate gradient) of the function at the current point. If i...
  算法        Matlab     

Biogeography-based optimization

Biogeography-based optimization, a excellent global optimization algorithm! Biogeography is the study of the geographical distribution of biological organisms. Mathematical equations that govern the distribution of organisms were first discovered and developed during the 1960s. The mindset of...
  Matlab        Matlab     

PSO Particle Swarm optimization Algorithm

PSO   Particle Swarm optimization Algorithm % PSO   Particle Swarm optimization Algorithm % % PSO attempts to solve continuous optimization problem of the form % %       min OBJFUNC(X) %        X % % No...
  Matlab        Matlab     

多目标粒子群算法

国外经典的多目标粒子群算法,这个2012年的MOPSO的改进版,非常适合初学者。是多目标粒子群里面的经典算法。学习粒子群的同学必须看的一篇代码。国外经典的多目标粒子群算法,这个2012年的MOPSO的改进版,非常适合初学者。...
  算法        Matlab     

Particle Swarm optimization

Description This is simple basic PSO function.  This function is well illustrated and analogically programed to understand and visualize Particle Swarm optimization theory in better way and how it implemented. To run this you also need to have...
  Matlab        Matlab     

遗传算法优化频率

在工程应用中,针对优化计算所构造目标函数不一定有导数存在;许多复杂的函数,其表达式很难写出来。遗传算法(Genetic Algorithm)是以自然选择和遗传理论为基础,借鉴生物界的进化规律(适者生存,优胜劣汰遗传机制...
  Matlab        Matlab     

微粒群算法

微粒群算法,又称粒子群优化(Particle Swarm optimization, PSO),是由J. Kennedy和R. C. Eberhart等于1995年开发的一种演化计算技术,来源于对一个简化社会模型的模拟。其中“群(swarm)”来源于微粒群符合M. M. Millonas在开发应用于人工生命(art...
  Matlab        Matlab     

ant colony optimization

The Ant Colony optimization idea is to exploit the self organising principles of ants and make them help solve the computational problems.ACO is based on the foraging behaviour of the ants colonies and targets the optimization problems. This is done by the trail laying and trail following behavio...
  Java开发        Java     

多目标的综合学习粒子群优化

源包含多目标的综合学习粒子群优化源和 ZDT 测试套件和真实帕累托前面在多目标 optimization.and 帕累托前面的 DTLZ1 和 DTLZ2 还包含的真实。...
  Matlab        Matlab     

霍普费尔德的优化

本文提出了基于 Langevin 方程与霍普费尔德模型相结合的两种简单的优化技术。 拟议的模式-称为随机模型 (SM) 和脉冲噪声模型 (国家)-可以视为简单随机扩展的优化网络。这两个模型按照随机神经网络 [14] 和扩散机 [23] 的想法。...
  Matlab        Matlab     

optimization of ackley function by Cuckoo with kmeansToolBox in matlab_coasite.info This code minimizes your cost function, so don t change any part of your code.

optimization of ackley function by Cuckoo with kmeansToolBox in matlab_coasite.info This code minimizes your cost function, so don t change any part of your code. -----------------------------------------------------------------------------------------------------------------------------------------...
  Matlab        Matlab     

Power system optimization

A two generator power system optimization of power flow. Requires CVX toolbox...
  Matlab        Matlab     

Ant colony optimization to solve knapsack problems

ACO algorithm for solving MKPs. This algorithm is based on Ant Colony optimization (ACO)  a stochastic metaheuristic that has been applied to solve many combinatorial optimization problems such as traveling salesman problems [3], quadratic assignment problems [6], or vehicule routing problem...
  算法        C++     

solving TSP using ant colony optimization

this is matlab code implementing optimization algorithm to solve traveling sales man problem TSP,  we solve symmetric  TSP , we use Ant Colony optimization algorithm to solve the TSP problem which has an advantage of get the nearest path between cites...
  Matlab        Matlab     

The Particle Swarm optimization (PSO) is one of the new techniques that have been empirically shown to perform well. The PSO algorithm is a population- based search algorithm based on simulating the social behavior of birds within a flock.

using System; namespace ParticleSwarmoptimization {   class Program   {     static Random ran = null;     static void Main(string[] args)     {       try       {    &nb...
  算法        C#     

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