globpso: Swarm Intelligence Optimization
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.
Version: |
1.3.0 |
Depends: |
R (≥ 4.3.0) |
Imports: |
Rcpp (≥ 1.0.12), RcppArmadillo (≥ 0.12.6.6.1), methods, utils |
LinkingTo: |
Rcpp, RcppArmadillo |
Suggests: |
knitr, rmarkdown |
Published: |
2025-03-19 |
DOI: |
10.32614/CRAN.package.globpso |
Author: |
Ping-Yang Chen [aut, cre],
Russell Eberhart [ctb],
Kennedy Kennedy [ctb],
Jun Sun [ctb],
Bin Feng [ctb],
Wenbo Xu [ctb],
Mohammad Reza Bonyadi [ctb],
Zbigniew Michalewicz [ctb],
Ran Cheng [ctb],
Yaochu Jin [ctb],
Milan Stehlík [ctb],
Weng Kee Wong [ctb],
Jozef Kiseľák [ctb],
Rainer Storn [ctb],
Kenneth Price [ctb],
Okazaki Naoaki [cph] |
Maintainer: |
Ping-Yang Chen <pychen.ping at gmail.com> |
License: |
GPL-3 |
NeedsCompilation: |
yes |
Materials: |
README |
CRAN checks: |
globpso results |
Documentation:
Downloads:
Linking:
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