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MetaEEEA  

Metaheuristic Algorithms with Explicit Exploration
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MetaEEEA", "1.0.0")



Attach the package and use:
library("MetaEEEA")
Maintained by
Rogelio Salinas Gutiérrez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-24
Latest Update: 2026-07-24
Description:
Solves single-objective optimization problems by using bio-inspired metaheuristic algorithms. The implemented metaheuristics are the Butterfly Optimization Algorithm, the Ladybug Beetle Optimization Algorithm and the Prairie Dog Optimization Algorithm. For all these optimization algorithms, the search of optimal values can be reinforced with the explicit exploration strategy proposed by Salinas-Gutiérrez and Muñoz Zavala (2023) <doi:10.1016/j.asoc.2023.110230>.
How to cite:
Rogelio Salinas Gutiérrez (2026). MetaEEEA: Metaheuristic Algorithms with Explicit Exploration. R package version 1.0.0, https://cran.r-project.org/web/packages/MetaEEEA. Accessed 24 Oct. 2026.
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