Particle Swarm

An animated simulation of Particles in 2D searching for a global minima of a simple function using Particle Swarm Optimization algorithm

Particle swarm optimization is a technique used in many control systems application. Here i used the PSO in PID controller tuning

This upload contains a hybrid Particle Swarm Optimization algorithm for functions in the real space. An options file is also provided, which lets the user fully parameterize the process. The hybrid function used is the @fminsearch, which is available on the MATLAB core. The PSO performs very well...


Platforms: Matlab

Particle Swarm Optimization toolkit (with GUI) - Allows you to implement PSO algorithm for optimization of engineering/finance/management systems.


Platforms: Windows, Mac, Linux

Robust Particle Swarm toolbox implementing Trelea, Common, and Clerc types along with an alpha version of change detection.This toolbox is designed for researchers in Computational Intelligence as well as application developers, students, and classroom labs. It is robust enough that several...


Platforms: Matlab

The Particle Swarm Optimization Research Toolbox was written to assist with thesis research combating the premature convergence problem of particle swarm optimization (PSO). The control panel offers ample flexibility to accommodate various research directions. After specifying your intentions,...


Platforms: Matlab

Particle swarm optimization is a derivative-free global optimum search algorithm based on the collective intelligence of a large group of intercommunicating entities. The individual particles are simple and primitive, knowing only their own current locations and fitness values, their personal...


Platforms: Matlab

A few popular metaheuristic algorithms are included, such as the particle swarm optimization, firefly algorithm, harmony search and others.


Platforms: Matlab

Base paper detail : "Improved Particle Swarm Optimization Based Load Frequency Control In A Single Area Power System"Saumya Kr. Gautam, Nakul Goyal Department of Electrical Engineering, IT-BHUVaranasi,India."This my first model, implementing IPSO/ Other Algorithm i will publish soon"


Platforms: Matlab

JGenAlg is a java toolbox for working with metaheuristic procedures (Genetic Algorithms, Island model, Particle Swarm, Ant Swarm). JGenAlg have a GUI, a Client/Server architecture, work with threads and can be use under distributed enviroments.


Platforms: Windows, Mac, Linux

MapPSO is a tool for Ontology Alignment, which uses Discrete Particle Swarm Optimisation. A particle swarm is used to search for the optimal alignment. The algorithm is massively parallel and adapts naturally on parallel architectures.


Platforms: Windows, Mac, Linux

An attempt to design minimum cost broadband networks with the use of a modified version of the Particle Swarm Optimization method. A GIS subsystem is used for the visualization of data and results.


Platforms: Windows, Mac, Linux

Java framework for applying meta-heuristic (multi-objective) optimization algorithms like an Evolutionary Algorithm, Particle Swarm Optimizer, Differential Evolution, or Simulated Annealing to arbitrary optimization problems.(visit: http://www.opt4j.org)


Platforms: Windows, Mac, Linux

This is a GUI, Java implementation of the Ant Colony Optimisation/Particle Swarm Optimisation (PSO/ACO2) rule induction algorithm. This project was inspired by Ant-Miner, but handles continuous attributes using PSO or now Differential Evolution.


Platforms: Windows, Mac, Linux

The program is writing base on the principle of the PSO algorithm,and it is used to Water quality model calibration. I have modified the program for many times ,and it is the final program I have used to calibrate the parameter oh the streeter-phelps water quality model.


Platforms: Matlab

A flexible implementation of PSO algorithm with time-varying parameters. Algorithm is suitable for solving continuous optimization problems. Special care has been taken to enable flexibility of the algorthm with respect to its parameters and to initial population selection. Detailed logging of...


Platforms: Matlab

This is an accelerated PSO (APSO), developed by Xin-She Yang in 2008. APSO does not use velocities or any inertia parameter.A full program for solving nonlinear constrained optimization problem (welded beam design as an example) is provided, which can be extended to solve other continuous...


Platforms: Matlab

My work has been accepted in GECCO 2008 as Graduate Student workshop. I have used this technique in PID tunning and i got better result than BG and PSO


Platforms: Matlab

This software contains one example taken from the reference paper given with this program. By running the programs as they are in the default pso folder the economic dispatch problem can be solved. The allocation minimum fuel cost and transmission losses are determined. By running the program the...


Platforms: Matlab

This add-in to the PSO Research toolbox (Evers 2009) aims to allow an artificial neural network (ANN or simply NN) to be trained using the Particle Swarm Optimization (PSO) technique (Kennedy, Eberhart et al. 2001).This add-in acts like a bridge or interface between MATLABd-deOaos NN toolbox and...


Platforms: Matlab