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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     

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     

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     

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     

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#     

contour detection by ant colony optimization

This is a  program of image edge detection using ant colony, based on the paper, "An Ant Colony optimization Algorithm For Image Edge Detection," IEEE Congress on Evolutionary Computation (CEC), pp. 751-756, Hongkong, Jun. 2008. Input:  gray image with a square size Output: four...
  算法        Matlab     

Marquardt optimization algorithm

this is two optimization algorithm that  is used to solve non-linear least squares problems get the optimal point, which is called Marquardt method and Bisection Method. This methods is considered a good method to obtain the optimal point. until today there are  good  researches based...
  Matlab        Matlab     

particle swarm optimization

particle swarm optimization ,PSO, is a computational method that optimizes a problem solution having a large number of candidate solutions, here dubbed particles , and moving these particles around in the search space imitating a flock of birds or fish, according to sim...
  Matlab        Matlab     

pso算法解决目标函数优化问题

pso算法解决目标函数优化问题pso算法解决目标函数优化问题pso算法解决目标函数优化问题pso算法解决目标函数优化问题pso算法解决目标函数优化问题pso算法解决目标函数优化问题pso算法解决目标函数优化问题pso算法解决目标函数...
  Matlab        Matlab     

ACO-ant colony optimization

In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs. This algorithm is a member of the ant colony algorithms family, in swarm intellige...
  算法        C#     

Biogeography-based optimization (BBO)

Biogeography-based optimization (BBO) is an evolutionary algorithm (EA) that optimizes a function by stochastically and iteratively improving candidate solutions with regard to a given measure of quality, or fitness function. BBO belongs to the class of metaheuristics since it includes many variatio...
  Optimisation        Matlab     

particle swarm optimization for get variable resistor and voltage value

Particle swarm optimization (PSO) is a population based stochastic optimization technique developed by Dr. Eberhart and Dr. Kennedy in 1995, inspired by social behavior of bird flocking or fish schooling. Particle swarm optimization or PSO is a general purpose optimization algorithm of which...
  Matlab        Matlab     

Particle Swarm optimization Algorithm

Particle swarm optimization (Particle Swarm optimization, PSO algorithm) from groups of birds and fish movement behavior, is a new swarm intelligence algorithm, in the field of evolutionary computation is a new branch. Its main feature is simple in principle, few parameters, convergence is faster, l...
  Matlab        Matlab     

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