Package: evoper 0.5.0
Antonio Prestes Garcia
evoper: Evolutionary Parameter Estimation for 'Repast Simphony' Models
The EvoPER, Evolutionary Parameter Estimation for Individual-based Models is an extensible package providing optimization driven parameter estimation methods using metaheuristics and evolutionary computation techniques (Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization for continuous domains, Tabu Search, Evolutionary Strategies, ...) which could be more efficient and require, in some cases, fewer model evaluations than alternatives relying on experimental design. Currently there are built in support for models developed with 'Repast Simphony' Agent-Based framework (<https://repast.github.io/>) and with NetLogo (<https://ccl.northwestern.edu/netlogo/>) which are the most used frameworks for Agent-based modeling.
Authors:
evoper_0.5.0.tar.gz
evoper_0.5.0.tar.gz(r-4.5-noble)evoper_0.5.0.tar.gz(r-4.4-noble)
evoper_0.5.0.tgz(r-4.4-emscripten)evoper_0.5.0.tgz(r-4.3-emscripten)
evoper.pdf |evoper.html✨
evoper/json (API)
NEWS
| # Install 'evoper' in R: |
| install.packages('evoper', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/antonio-pgarcia/evoper/issues
Last updated 6 years agofrom:c81202d787. Checks:OK: 1 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 30 2024 |
| R-4.5-linux | NOTE | Oct 30 2024 |
Exports:abm.acorabm.ees1abm.ees2abm.psoabm.saaabm.tabuacor.archiveacor.Facor.lthgaussianacor.Nacor.probabilitiesacor.Sacor.sigmaacor.updateantsacor.Wacor.weigthassertbestFitnessbestSolutioncbufcompare.algorithms1contourplothelperees1.challengeees1.exploreees1.matingees1.mating1ees1.mutationees1.recombinationees1.selectionelog.debugelog.errorelog.infoelog.levelenforceBoundses.evaluateEstimatesextremizef0.ackleyf0.ackley4f0.adtn.rosenbrock2f0.bohachevskyf0.bohachevsky4f0.cigarf0.cigar4f0.griewankf0.griewank4f0.nlnn.rosenbrock2f0.periodtuningppf0.periodtuningpp12f0.periodtuningpp24f0.periodtuningpp48f0.periodtuningpp72f0.rosenbrock2f0.rosenbrock4f0.rosenbrocknf0.schafferf0.schaffer4f0.schwefelf0.schwefel4f0.testf1.ackleyf1.adtn.rosenbrock2f1.bohachevskyf1.cigarf1.griewankf1.nlnn.rosenbrock2f1.rosenbrock2f1.rosenbrocknf1.schafferf1.schwefelf1.testfixdfcolumnsgenerateSolutiongetFitnessgetSolutiongm.meangm.sdhistplothelperinitSolutionlowerBoundMagnitudenaiveperiodNetLogoFunctionNLWrapper.FindJarNLWrapper.GetParameterNLWrapper.ModelNLWrapper.RunNLWrapper.RunExperimentNLWrapper.SetParameterNLWrapper.SetRandomSeedNLWrapper.ShutdownObjectiveFunctionOptionsOptionsACOROptionsEES1OptionsEES2OptionsFactoryOptionsPSOOptionsSAAOptionsTSparamconverterpartSolutionSpacePlainFunctionpop.firstpop.lastpredatorpreypredatorprey.plot0predatorprey.plot1pso.bestpso.chipso.lbestpso.neighborhood.K2pso.neighborhood.K4pso.neighborhood.KNpso.Velocitypushrandom.wheelRepastFunctionsaa.boltsaa.neighborhoodsaa.neighborhood1saa.neighborhoodHsaa.neighborhoodNsaa.tbyksaa.tctesaa.texpscatterplotlothelpersearchrowshow.comp1slopeslopessortSolutionsummarize.comp1tabu.getNeighborstabu.istabuupperBoundxmeanci1xmeanci2xyplothelper
Dependencies:base64encbootbslibcachemclasscliclueclustercodetoolscolorspacecommonmarkcpp11crayondata.tabledeSolvedigestdoSNOWdplyrdtwdtwclustfansifarverfastmapflexclustfontawesomeforeachformatRfsfutile.loggerfutile.optionsgenericsggplot2ggrepelgluegridExtragtablehtmltoolshttpuvigraphisobanditeratorsjquerylibjsonlitelabelinglambda.rlaterlatticelhslifecyclemagrittrMASSMatrixmemoisemgcvmimemisc3dmodeltoolsmunsellnlmenumberspillarpkgconfigplot3DplyrpromisesproxyR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRcppThreadreshapereshape2rJavarlangRNetLogorrepastRSpectrasassscalessensitivityshinyshinyjssnowsourcetoolsstringistringrtibbletidyselectutf8vctrsviridisLitewithrxlsxxlsxjarsxtable
