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evoper
View on CRAN: Click
here
Download and install evoper package within the R console
Install from CRAN:
install.packages("evoper")
Install from Github:
library("remotes")
install_github("cran/evoper") Install by package version:
library("remotes")
install_version("evoper", "0.5.0") Attach the package and use:
library("evoper")
Maintained by
Antonio Prestes Garcia
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-06-16
Latest Update: 2018-08-30
Description:
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 ( )
and with NetLogo ( ) which are the most used frameworks for Agent-based modeling.
How to cite:
Antonio Prestes Garcia (2016). evoper: Evolutionary Parameter Estimation for 'Repast Simphony' Models. R package version 0.5.0, https://cran.r-project.org/web/packages/evoper. Accessed 17 Jul. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for evoper
Functions, R codes and Examples using
the evoper R package
Some associated functions: Estimates-class . Magnitude . NLWrapper.FindJar . NLWrapper.GetParameter . NLWrapper.Model . NLWrapper.Run . NLWrapper.RunExperiment . NLWrapper.SetParameter . NLWrapper.SetRandomSeed . NLWrapper.Shutdown . NetLogoFunction-class . ObjectiveFunction-class . Options-class . OptionsACOR-class . OptionsEES1-class . OptionsEES2-class . OptionsFactory . OptionsPSO-class . OptionsSAA-class . OptionsTS-class . PlainFunction-class . RepastFunction-class . abm.acor . abm.ees1 . abm.ees2 . abm.pso . abm.saa . abm.tabu . acor.F . acor.N . acor.S . acor.W . acor.archive . acor.lthgaussian . acor.probabilities . acor.sigma . acor.updateants . acor.weigth . assert . bestFitness . bestSolution . cbuf . compare.algorithms1 . contourplothelper . ees1.challenge . ees1.explore . ees1.mating . ees1.mating1 . ees1.mutation . ees1.recombination . ees1.selection . elog.debug . elog.error . elog.info . elog.level . enforceBounds . es.evaluate . extremize . f0.ackley . f0.ackley4 . f0.adtn.rosenbrock2 . f0.bohachevsky . f0.bohachevsky4 . f0.cigar . f0.cigar4 . f0.griewank . f0.griewank4 . f0.nlnn.rosenbrock2 . f0.periodtuningpp . f0.periodtuningpp12 . f0.periodtuningpp24 . f0.periodtuningpp48 . f0.periodtuningpp72 . f0.rosenbrock2 . f0.rosenbrock4 . f0.rosenbrockn . f0.schaffer . f0.schaffer4 . f0.schwefel . f0.schwefel4 . f0.test . f1.ackley . f1.adtn.rosenbrock2 . f1.bohachevsky . f1.cigar . f1.griewank . f1.nlnn.rosenbrock2 . f1.rosenbrock2 . f1.rosenbrockn . f1.schaffer . f1.schwefel . f1.test . fixdfcolumns . generateSolution . getFitness . getSolution . gm.mean . gm.sd . histplothelper . initSolution . lowerBound . naiveperiod . paramconverter . partSolutionSpace . pop.first . pop.last . predatorprey . predatorprey.plot0 . predatorprey.plot1 . pso.Velocity . pso.best . pso.chi . pso.lbest . pso.neighborhood.K2 . pso.neighborhood.K4 . pso.neighborhood.KN . pso.printbest . push . random.wheel . saa.bolt . saa.neighborhood . saa.neighborhood1 . saa.neighborhoodH . saa.neighborhoodN . saa.tbyk . saa.tcte . saa.texp . scatterplotlothelper . searchrow . show.comp1 . slope . slopes . sortSolution . summarize.comp1 . tabu.getNeighbors . tabu.istabu . upperBound . xmeanci1 . xmeanci2 . xyplothelper .
Some associated R codes: abm-acor.R . abm-ees1.R . abm-ees2.R . abm-pso.R . abm-saa.R . abm-tabu.R . class-estimates.R . class-objective.R . class-options.R . evoper.R . experiments.R . helper-functions.R . netlogo-helper.R . test-functions.R . Full evoper package functions and examples
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