MetaEEEA
Metaheuristic Algorithms with Explicit Exploration
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | MetaEEEA_1.0.0.tar.gz |
37.1 KiB |
1.0.0 |
rolling linux/noble R-4.5 | MetaEEEA_1.0.0.tar.gz |
37.1 KiB |
1.0.0 |
rolling source/ R- | MetaEEEA_1.0.0.tar.gz |
9.7 KiB |
1.0.0 |
latest linux/jammy R-4.5 | MetaEEEA_1.0.0.tar.gz |
37.1 KiB |
1.0.0 |
latest linux/noble R-4.5 | MetaEEEA_1.0.0.tar.gz |
37.1 KiB |
1.0.0 |
latest source/ R- | MetaEEEA_1.0.0.tar.gz |
9.7 KiB |
1.0.0 |
2026-04-23 source/ R- | MetaEEEA_1.0.0.tar.gz |
0 B |