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Exploration.oms
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Exploration.oms
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import java.text.SimpleDateFormat
import java.util.Date
// Define the input variables
val population = Val[Double]
val diffusionRate = Val[Double]
val evaporationRate = Val[Double]
val wiggleAngle = Val[Double]
// Define the output variables
val food1 = Val[Double]
val food2 = Val[Double]
val food3 = Val[Double]
val obj = Val[Double]
val seed = Val[Int]
val id = Val[Int]
val env = LocalEnvironment(64)
val purpose = "LHS_REPETS_LOCAL"
// Define the NetlogoTask
// experiments:setup-experiment [setuptype antpop wangle diffrate evaprate]
val cmds = Seq("experiments:setup-experiment \"fixed\" ${population} ${wiggleAngle} ${diffusionRate} ${evaporationRate} ${seed}","experiments:run-experiment")
val ants =
NetLogo5Task(workDirectory / "model" / "HEADLESS_ants.nlogo", cmds, seed = seed,embedWorkspace=true) set (
// Map the OpenMOLE variables to NetLogo variables
(inputs, outputs) += (population, diffusionRate, evaporationRate, wiggleAngle, seed, id),
outputs += food1 mapped "final-ticks-food1",
outputs += food2 mapped "final-ticks-food2",
outputs += food3 mapped "final-ticks-food3"
)
val replications =
Replication (
evaluation = ants,
seed = seed,
sample = 64
)
DirectSampling(
evaluation = replications,
sampling =
LHS(
sample = 10,
factor = Seq(
diffusionRate in (1.0, 100.0),
evaporationRate in (1.0, 100.0),
population in (100.0,200.0),
wiggleAngle in (5.0,90.0))
) withIndex id
) on env hook (workDirectory / "exploration" / (experiment.launchDate+"_"+purpose+".csv"))