Evolutionary Parameter Estimation for 'Repast Simphony' Models
Ant colony optimization for continuous domains
EvoPER Evolutionary Strategy 1
EvoPER Evolutionary Strategy 2
abm.pso
abm.saa
Tabu Search metaheuristic
acor.archive
acor.F
Select the lth gaussian function
acor.N
Gaussian kernel choosing probability
acor.S
Sigma calculation for ACOr
acor.updateants
acor.W
Weight calculation for ant colony optimization
assert
bestFitness
bestSolution
cbuf
compare.algorithms1
contourplothelper
ees1.challenge
ees1.explore
ees1.mating
ees1.mating1
ees1.mutation
ees1.recombination
ees.selection
elog.debug
elog.error
elog.info
elog.level
enforceBounds
es.evaluate
Estimates
extremize
f0.ackley
f0.ackley4
f0.adtn.rosenbrock2
f0.bohachevsky
f0.bohachevsky4
f0.cigar
f0.cigar4
f0.griewank
f0.griewank4
f0.nlnn.rosenbrock2
Period tuning for Predator-Prey base
Period tuning of 12 time units for Predator-Prey
Period tuning of 24 time units for Predator-Prey
Period tuning of 48 time units for Predator-Prey
Period tuning of 72 time units for Predator-Prey
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
Magnitude
naiveperiod
NetLogoFunction
NLWrapper.FindJar
NLWrapper.GetParameter
NLWrapper.Model
NLWrapper.Run
NLWrapper.RunExperiment
NLWrapper.SetParameter
NLWrapper.SetRandomSeed
NLWrapper.Shutdown
ObjectiveFunction class
Options
OptionsACOR
OptionsEES1
OptionsEES2
OptionsFactory
OptionsPSO
OptionsSAA
OptionsTS
paramconverter
partSolutionSpace
PlainFunction
pop.first
pop.last
predatorprey.plot0
predatorprey.plot1
predatorprey
pso.best
pso.chi
pso.lbest
pso.neighborhood.K2
pso.neighborhood.K4
pso.neighborhood.KN
pso.printbest
pso.velocity
push
random.whell
RepastFunction
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
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.
Useful links