EmiR: Evolutionary Minimizer for R

A C++ implementation of the following evolutionary algorithms: Bat Algorithm (Yang, 2010 <doi:10.1007/978-3-642-12538-6_6>), Cuckoo Search (Yang, 2009 <doi:10.1109/nabic.2009.5393690>), Genetic Algorithms (Holland, 1992, ISBN:978-0262581110), Gravitational Search Algorithm (Rashedi et al., 2009 <doi:10.1016/j.ins.2009.03.004>), Grey Wolf Optimization (Mirjalili et al., 2014 <doi:10.1016/j.advengsoft.2013.12.007>), Harmony Search (Geem et al., 2001 <doi:10.1177/003754970107600201>), Improved Harmony Search (Mahdavi et al., 2007 <doi:10.1016/j.amc.2006.11.033>), Moth-flame Optimization (Mirjalili, 2015 <doi:10.1016/j.knosys.2015.07.006>), Particle Swarm Optimization (Kennedy et al., 2001 ISBN:1558605959), Simulated Annealing (Kirkpatrick et al., 1983 <doi:10.1126/science.220.4598.671>), Whale Optimization Algorithm (Mirjalili and Lewis, 2016 <doi:10.1016/j.advengsoft.2016.01.008>). 'EmiR' can be used not only for unconstrained optimization problems, but also in presence of inequality constrains, and variables restricted to be integers.

Version: 1.0.4
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.5), methods, Rdpack, tictoc, ggplot2, tibble, tidyr, dplyr, gganimate, mathjaxr, data.table, plot3D, graphics
LinkingTo: Rcpp, RcppProgress
Suggests: xml2
Published: 2022-12-09
Author: Davide Pagano [aut], Lorenzo Sostero [aut, cre]
Maintainer: Lorenzo Sostero <l.sostero at studenti.unibs.it>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README
CRAN checks: EmiR results

Documentation:

Reference manual: EmiR.pdf

Downloads:

Package source: EmiR_1.0.4.tar.gz
Windows binaries: r-devel: EmiR_1.0.4.zip, r-release: EmiR_1.0.4.zip, r-oldrel: EmiR_1.0.4.zip
macOS binaries: r-release (arm64): EmiR_1.0.4.tgz, r-oldrel (arm64): EmiR_1.0.4.tgz, r-release (x86_64): EmiR_1.0.4.tgz
Old sources: EmiR archive

Linking:

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