Package: EEEA 1.0.1

Rogelio Salinas Gutiérrez

EEEA: Explicit Exploration Strategy for Evolutionary Algorithms

Implements an explicit exploration strategy for evolutionary algorithms in order to have a more effective search in solving optimization problems. Along with this exploration search strategy, a set of four different Estimation of Distribution Algorithms (EDAs) are also implemented for solving optimization problems in continuous domains. The implemented explicit exploration strategy in this package is described in Salinas-Gutiérrez and Muñoz Zavala (2023) <doi:10.1016/j.asoc.2023.110230>.

Authors:Rogelio Salinas Gutiérrez [aut, cre, cph], Pedro Abraham Montoya Calzada [aut, cph], Angel Eduardo Muñoz Zavala [aut, cph], Alejandro Fausto Cortés Salinas [aut, cph], Ilse Daniela Saldivar Olvera [aut, cph]

EEEA_1.0.1.tar.gz
EEEA_1.0.1.tar.gz(r-4.7-any)EEEA_1.0.1.tar.gz(r-4.6-any)
EEEA_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
EEEA/json (API)

# Install 'EEEA' in R:
install.packages('EEEA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 125 downloads 21 exports 1 dependencies

Last updated from:c30657fce2. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK132
source / vignettesOK173
linux-release-x86_64OK118
wasm-releaseOK100

Exports:ackleycigarcigar_tabletEDA.ecdfEDA.histEDA.mnormEDA.normellipsoidexpanded_schafferExplicitExplorationgriewankhappy_catmodified_schwefelrastriginrosenbrockschwefel_12spheretridtwo_axesweierstrasszakharov

Dependencies:mvtnorm