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Hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA)

version 1.4.0.0 (151 KB) by Seyedali Mirjalili
PSOGSA is the efficient combination of PSO and GSA.

5.2K Downloads

Updated 22 May 2018

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A new hybrid population-based algorithm (PSOGSA) is proposed with the combination of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA). The main idea is to integrate the ability of exploitation in PSO with the ability of exploration in GSA to synthesize both algorithms’ strength. Some benchmark test functions are used to compare the hybrid algorithm with both the standard PSO and GSA algorithms in evolving best solution.
Paper: A New Hybrid PSOGSA Algorithm for Function Optimization, in IEEE International Conference on Computer and Information Application(ICCIA 2010), China, 2010, pp.374-377, DOI: http://dx.doi.org/10.1109/ICCIA.2010.6141614

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Cite As

Seyedali Mirjalili (2021). Hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA) (https://www.mathworks.com/matlabcentral/fileexchange/35939-hybrid-particle-swarm-optimization-and-gravitational-search-algorithm-psogsa), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2008a
Compatible with any release
Platform Compatibility
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