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>.
| Version: | 1.0.1 |
| Imports: | mvtnorm |
| Published: | 2025-10-31 |
| DOI: | 10.32614/CRAN.package.EEEA |
| Author: | 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] |
| Maintainer: | Rogelio Salinas Gutiérrez <rsalinas at correo.uaa.mx> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | EEEA results |
Documentation:
| Reference manual: | EEEA.html , EEEA.pdf |
Downloads:
| Package source: | EEEA_1.0.1.tar.gz |
| Windows binaries: | r-devel: EEEA_1.0.1.zip, r-release: EEEA_1.0.1.zip, r-oldrel: EEEA_1.0.1.zip |
| macOS binaries: | r-release (arm64): EEEA_1.0.1.tgz, r-oldrel (arm64): EEEA_1.0.1.tgz, r-release (x86_64): EEEA_1.0.1.tgz, r-oldrel (x86_64): EEEA_1.0.1.tgz |
| Old sources: | EEEA archive |
Linking:
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