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evolutionary-optimization-laboratory
rmoo:Multi-Objective Optimization in R
The 'rmoo' package is a framework for multi- and many-objective optimization, which allows researchers and users versatility in parameter configuration, as well as tools for analysis, replication and visualization of results. The 'rmoo' package was built as a fork of the 'GA' package by Luca Scrucca(2017) <DOI:10.32614/RJ-2017-008> and implementing the Non-Dominated Sorting Genetic Algorithms proposed by K. Deb's.
Maintained by Francisco Benitez. Last updated 5 months ago.
metaheuristicsmultiobjectivemultiobjective-optimizationnsgansga2nsga3optimizationpareto-front
30 stars 5.01 score 23 scripts
nimble-dev
compareMCMCs:Compare MCMC Efficiency from 'nimble' and/or Other MCMC Engines
Manages comparison of MCMC performance metrics from multiple MCMC algorithms. These may come from different MCMC configurations using the 'nimble' package or from other packages. Plug-ins for JAGS via 'rjags' and Stan via 'rstan' are provided. It is possible to write plug-ins for other packages. Performance metrics are held in an MCMCresult class along with samples and timing data. It is easy to apply new performance metrics. Reports are generated as html pages with figures comparing sets of runs. It is possible to configure the html pages, including providing new figure components.
Maintained by Perry de Valpine. Last updated 6 months ago.
1 stars 4.71 score 17 scripts
cran
icardaFIGSr:Subsetting using Focused Identification of the Germplasm Strategy (FIGS)
Running Focused Identification of the Germplasm Strategy (FIGS) to make best subsets from Genebank Collection.
Maintained by Zakaria Kehel. Last updated 3 years ago.
1.70 score