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globpso  

Swarm Intelligence Optimization
View on CRAN: Click here


Download and install globpso package within the R console
Install from CRAN:
install.packages("globpso")

Install from Github:
library("remotes")
install_github("cran/globpso")

Install by package version:
library("remotes")
install_version("globpso", "1.3.0")



Attach the package and use:
library("globpso")
Maintained by
Ping-Yang Chen
[Scholar Profile | Author Map]
First Published: 2025-03-19
Latest Update: 2025-03-19
Description:
A fast and flexible general-purpose implementation of Particle Swarm Optimization (PSO) and Differential Evolution (DE) for solving global minimization problems is provided. It is designed to handle complex optimization tasks with nonlinear, non-differentiable, and multi-modal objective functions defined by users. There are five types of PSO variants: Particle Swarm Optimization (PSO, Eberhart & Kennedy, 1995) <doi:10.1109/MHS.1995.494215>, Quantum-behaved particle Swarm Optimization (QPSO, Sun et al., 2004) <doi:10.1109/CEC.2004.1330875>, Locally convergent rotationally invariant particle swarm optimization (LcRiPSO, Bonyadi & Michalewicz, 2014) <doi:10.1007/s11721-014-0095-1>, Competitive Swarm Optimizer (CSO, Cheng & Jin, 2015) <doi:10.1109/TCYB.2014.2322602> and Double exponential particle swarm optimization (DExPSO, Stehlik et al., 2024) <doi:10.1016/j.asoc.2024.111913>. For the DE algorithm, six types in Storn, R. & Price, K. (1997) <doi:10.1023/A:1008202821328> are included: DE/rand/1, DE/rand/2, DE/best/1, DE/best/2, DE/rand_to-best/1 and DE/rand_to-best/2.
How to cite:
Ping-Yang Chen (2025). globpso: Swarm Intelligence Optimization. R package version 1.3.0, https://cran.r-project.org/web/packages/globpso. Accessed 08 Apr. 2025.
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