Package: globpso
Type: Package
Title: Swarm Intelligence Optimization
Version: 1.3.0
Date: 2025-03-08
Authors@R: c(
  person("Ping-Yang", "Chen", email = "pychen.ping@gmail.com", role = c("aut", "cre")),
  person("Russell", "Eberhart", email = "", role = c("ctb")),
  person("Kennedy", "Kennedy", email = "", role = c("ctb")),
  person("Jun", "Sun", email = "", role = c("ctb")),
  person("Bin", "Feng", email = "", role = c("ctb")),
  person("Wenbo", "Xu", email = "", role = c("ctb")),
  person("Mohammad Reza", "Bonyadi", email = "", role = c("ctb")),
  person("Zbigniew", "Michalewicz", email = "", role = c("ctb")),
  person("Ran", "Cheng", email = "", role = c("ctb")),
  person("Yaochu", "Jin", email = "", role = c("ctb")),
  person("Milan", "Stehlík", email = "", role = c("ctb")),
  person("Weng Kee", "Wong", email = "", role = c("ctb")),
  person("Jozef", "Kiseľák", email = "", role = c("ctb")),
  person("Rainer", "Storn", email = "", role = c("ctb")),
  person("Kenneth", "Price", email = "", role = c("ctb")),
  person("Okazaki", "Naoaki", email = "", role = c("cph")))
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@gmail.com>
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.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: Rcpp (>= 1.0.12), RcppArmadillo (>= 0.12.6.6.1), methods,
        utils
LinkingTo: Rcpp, RcppArmadillo,
RoxygenNote: 7.3.2
Suggests: knitr, rmarkdown
Repository: https://pingyangchen.r-universe.dev
Date/Publication: 2025-06-27 02:41:04 UTC
RemoteUrl: https://github.com/pingyangchen/globpso
RemoteRef: HEAD
RemoteSha: 1cbf472070cb4d4ce60c3b8e85232176ebb6df2c
NeedsCompilation: yes
Packaged: 2026-10-17 06:29:52 UTC; root