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EEEA  

Explicit Exploration Strategy for Evolutionary Algorithms
View on CRAN: Click here


Download and install EEEA package within the R console
Install from CRAN:
install.packages("EEEA")

Install from Github:
library("remotes")
install_github("cran/EEEA")

Install by package version:
library("remotes")
install_version("EEEA", "1.0.1")



Attach the package and use:
library("EEEA")
Maintained by
Rogelio Salinas Gutiérrez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-04-24
Latest Update: 2025-04-24
Description:
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>.
How to cite:
Rogelio Salinas Gutiérrez (2025). EEEA: Explicit Exploration Strategy for Evolutionary Algorithms. R package version 1.0.1, https://cran.r-project.org/web/packages/EEEA. Accessed 17 Jul. 2026.
Previous versions and publish date:
1.0.0 (2025-04-24 09:30), (2026-07-09 08:02)
Other packages that cited EEEA R package
View EEEA citation profile
Other R packages that EEEA depends, imports, suggests or enhances
Complete documentation for EEEA
Functions, R codes and Examples using the EEEA R package
Full EEEA package functions and examples
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