Package: RCEIM 0.3
RCEIM: R Cross Entropy Inspired Method for Optimization
An implementation of a stochastic heuristic method for performing multidimensional function optimization. The method is inspired in the Cross-Entropy Method. It does not relies on derivatives, neither imposes particularly strong requirements into the function to be optimized. Additionally, it takes profit from multi-core processing to enable optimization of time-consuming functions.
Authors:
RCEIM_0.3.tar.gz
RCEIM_0.3.zip(r-4.5)RCEIM_0.3.zip(r-4.4)RCEIM_0.3.zip(r-4.3)
RCEIM_0.3.tgz(r-4.4-any)RCEIM_0.3.tgz(r-4.3-any)
RCEIM_0.3.tar.gz(r-4.5-noble)RCEIM_0.3.tar.gz(r-4.4-noble)
RCEIM_0.3.tgz(r-4.4-emscripten)RCEIM_0.3.tgz(r-4.3-emscripten)
RCEIM.pdf |RCEIM.html✨
RCEIM/json (API)
| # Install 'RCEIM' in R: |
| install.packages('RCEIM', repos = c('https://algolkm.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:dcdc9f5b92. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 01 2024 |
| R-4.5-win | OK | Nov 01 2024 |
| R-4.5-linux | OK | Nov 01 2024 |
| R-4.4-win | OK | Nov 01 2024 |
| R-4.4-mac | OK | Nov 01 2024 |
| R-4.3-win | OK | Nov 01 2024 |
| R-4.3-mac | OK | Nov 01 2024 |
Exports:ceimOptenforceDomainOnParametersoverPlotErrorPolygonplotEliteDistribsortDataFrametestFunOptimizationtestFunOptimization2d
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| An R Cross Entropy Inspired Method for Optimization RCEIM | RCEIM-package RCEIM |
| A Cross Entropy Inspired Method for Optimization | ceimOpt |
| Enforce domain boundaries | enforceDomainOnParameters |
| Overplot an error polygon | overPlotErrorPolygon |
| Plot the distribution of elite members | plotEliteDistrib |
| Sorting a data frame by a key | sortDataFrame |
| 1D test problem for RCEIM | testFunOptimization |
| 2D test problem for RCEIM | testFunOptimization2d |
