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Parallel Global Best-Worst Particle Swarm Optimization Algorithm for Solving Optimization Problems (Applied Soft Computing-2023)

Home Page: https://doi.org/10.1016/j.asoc.2023.110329

MATLAB 100.00%
jaya-algorithm metaheuristic-optimisation parallel-computing parallelization particle-swarm-optimization swarm-intelligence-algorithms

gbwpso's Introduction

GBWPSO

Matlab code of GBWPSO
The MATLAB codes of GBWPSO algorithm for the unconstrained and constrained benchmark functions can be downloaded from the following links.
The users are requested to make use of these codes as reference codes.

Matlab Drive Link: https://drive.matlab.com/sharing/47c81cb1-fd63-40a7-80c5-be008dad4ae0
GitHub Link: https://github.com/lalit212212/GBWPSO.git

A new Parallel Global Best-Worst Particle Swarm Optimization Algorithm for Solving Optimization Problems is developed and published in 2023.

Please refer and cite to the following paper:

Parallel Global Best-Worst Particle Swarm Optimization Algorithm for Solving Optimization Problems in Applied Soft Computing (2023).

https://www.sciencedirect.com/science/article/pii/S1568494623003472?via%3Dihub

DoI: https://doi.org/10.1016/j.asoc.2023.110329

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