image thumbnail

Autonomous Groups Particles Swarm Optimization (AGPSO)

version 1.2.0.0 (462 KB) by Seyedali Mirjalili
A Particle Swarm Optimization Algorithm with Autonomous Groups of Particles

1.7K Downloads

Updated 22 May 2018

View License

A modified particle swarm optimization (PSO) algorithm called autonomous groups particles swarm optimization (AGPSO) is proposed to further alleviate the two problems of trapping in local minima and slow convergence rate in solving high-dimensional problems. The main idea of AGPSO algorithm is inspired by individuals’ diversity in bird flocking or insect swarming. In natural colonies, individuals are not basically quite similar in terms of intelligence and ability, but they all do their duties as members of a colony. Each individual’s ability can be useful in a particular situation. In this paper, a mathematical model of diverse particles groups called autonomous groups is proposed. In other words different functions with diverse slopes, curvatures, and interception points are employed to tune the social and cognitive parameters of the PSO algorithm to give particles different behaviors as in natural colonies.
This is the source codes of the paper: S. Mirjalili, A. Lewis, A. Safa Sadiq, Autonomous Particles Groups for Particle Swarm Optimization, Arabian Journal for Science and Engineering, Volume 39, Issue 6, pp 4683-4697, 2014. http://dx.doi.org/10.1007/s13369-014-1156-x

More information can be found in http://www.alimirjalili.com

I have a number of relevant courses in this area. You can enrol via the following links with 95% discount:

*******************************************************************************************************************************************
A course on “Optimization Problems and Algorithms: how to understand, formulation, and solve optimization problems”:
https://www.udemy.com/optimisation/?couponCode=MATHWORKSREF

A course on “Introduction to Genetic Algorithms: Theory and Applications”
https://www.udemy.com/geneticalgorithm/?couponCode=MATHWORKSREF
*******************************************************************************************************************************************

Cite As

Seyedali Mirjalili (2021). Autonomous Groups Particles Swarm Optimization (AGPSO) (https://www.mathworks.com/matlabcentral/fileexchange/47209-autonomous-groups-particles-swarm-optimization-agpso), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2014a
Compatible with any release
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!