EEEA
1.0.1Explicit Exploration Strategy for Evolutionary Algorithms
Overview
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.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 100%
Downloads
Dependencies
Code & Tests
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.0.1Latest
- 1.0.02025-04-24
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-04-24
- Total releases
- 2 / 1 yrs
- License
- GPL-3 OSI
- Download size
- 12 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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