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Orthogonal Learning PArticle Swarm Optimization

an orthogonal learning (OL) strategy for PSO to discover more useful information that lies in the above two experiences via orthogonal experimental design. We name this PSO as orthogonal learning pArticle swarm optimization (OLPSO). The OL strategy can guide pArticles to fly in better direction...
  Matlab        Matlab     

PArticle Swarm Optimization

PArticle swarm optimization (PSO) originated in different areas, among them Complex Adaptive Systems (CAS). The theory of CAS was formally proposed in 1994 by Holland and later collected in his book in (1995). PSO was inspired by the main ideas of CAS and from Heppner and Grenander’...
  Algorithm        Matlab     

The goal of this Article is to review the state-of-the-art tracking methods, classify them into different categories, and identify new trends

The goal of this Article is to review the state-of-the-art tracking methods, classify them into different categories, and identify new trends. Object tracking, in general, is a challenging problem. Difficulties in tracking objects can arise due to abrupt object motion, changing appearance patterns...
  book        PDF     

Optimum design of PID controller based on PArticle Swarm Optimization algorithm

Optimum design of PID controller based on PArticle Swarm Optimization algorithm, through the three variable PID Proportional, integral and differential parameter optimization, best of three parameters, get the best output controller curve, least overshoot, overshoot time is small....
  Matlab        C     

pArticle swarm optimation

pArticle swarm optimation is algoritm for optical and bank capacitor.pso algoritm is very good code valah baver bekon...
  Matlab        Matlab     

PArticle Swarm Optimization Ackley function procedures

PArticle Swarm Optimization algorithm for function optimization program fitness01(j)=myFun(popchrom(j,:)); end for j=1:popsize if fitness01(j) < fitnessgbest(j)% gbest(j,:) = popchrom(j,:);% fitnessgbest(j) = fitness01(j);% end % if fitness01(j) < fitnesszbest% zbest = popchro...
  Matlab        Matlab     

pArticle swarm optimization simulation

PArticle swarm optimization (PSO) is a new branch in the area of evolutionary computation introduced by Kennedy and Eberhart in 1995 [8]. PSO is easy to implement and has been empirically verified to perform well on many optimization problems. Because of the success of PSO in solving unconstrained...
  Matlab        Matlab     

multiobjective comprehensive learning pArticle swarm optimization

The source contains multiobjective comprehensive learning pArticle swarm optimization source and ZDT test suite and the ture Pareto front in multiobjective optimization.and the ture pareto front of DTLZ1 and DTLZ2 also contains....
  Matlab        Matlab     

IEEE Article

this is a Article about ns2 implementation and so beutiful code is here and so realiaty code jghbjnkml,;kgjnkml,lhbnjkm,lkjlk;jlkjk;ljl;kj;lkj;lkj;luyghlkjhlk...
  GIS        Others     

PArticle Swarm Optimization (PSO)_Example

example to understand hoe the PArticle Swarm Optimization (PSO) work ...
  Matlab        C     

PArticle Swarm Optimization (PSO)_Example

Example to understand hoe the PArticle Swarm Optimization (PSO) work ...
  Matlab        C     

PArticle Swarm Optimization algorithm C code

 C code for PArticle Swarm Optimization algorithm...
  Algorithm        C++     

Hybrid PArticle Swarm Optimization and Gravitational Search Algorithm

A new hybrid population-basedalgorithm (PSOGSA) is proposed with the combination ofPArticle Swarm Optimization (PSO) and Gravitational SearchAlgorithm (GSA). The main idea is to integrate the ability ofexploitation in PSO with the ability of exploration in GSA tosynthesize both algorithmsd-d...
  Matlab        Matlab     

pArticle swarm

Artificial bee colony is an optimization techniques used to tuning purpose in malt application...
  Algorithm        Matlab     

PArticle Swarm Optimization algorithm for sensor network nodes-virtual force method

This code implements the functions is the use of pArticle swarm optimization algorithm for sensor network node configuration virtual force algorithm parameters optimization. After optimization, the node configuration is better than before....
  Matlab        Matlab     

GA genetic algorithm combined with the PSO PArticle Swarm algorithm MATLAB program

When doing optimization, GA algorithm was initially selected, but the instability of the GA (or local optimization) is really frustrating, before and after the resulting difference can at times reach more than 30%, at that time due to time reasons, I chose to optimize 1000 times, then the minimum va...
  Matlab        Matlab     

THE Ultimate LUDO

This is a game made in C graphics.This is a 4 player game where each player has there chances and play the game. There are animations in this game. ...
  GAME        C     

Complex pArticle flow model generator

This Fortran code used, based on AutoCAD as an input file directly as PFC model command stream, avoiding the trouble of entering commands one by one, and generate a small amount of granular flow models superimposed, meet pfc2d pretreatment application of geotechnical software....
  software      Fortran     

PArticles with HTML5 Canvas and javascript

This is Simple example to get started with HTML5 and the Canvas with javascript, this the the complete Visual Studio Solution for the WebSite, you can just download the Source Files and open the HTMLPage.htm to get started,...
  Web Framework        JavaScript     

pArticle swarm optimization

this is pso algorithm function for every body who want to learn easily. this function have many options for give you better and optimal output....
  Algorithm        Matlab     

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