Plot the evolution of an optimisation
This function takes in the results of an optimisation by gaBinaryT1 and plots the evolution of best fit and average fit against generations.
plotFit(optRes, filename = NULL)
optRes |
an object created by the optimisation engine (gabinaryT1) |
filename |
NULL or string: if provided, the plot is save in PDF format in the filename. |
This function doesn't return anything, it just produces a plot in your graphics window.
C. Terfve
data(CNOlistToy,package="CellNOptR") data(ToyModel,package="CellNOptR") #process the model model = preprocessing(CNOlistToy,ToyModel) #optimise ToyT1opt<-gaBinaryT1( CNOlist=CNOlistToy, model=model, maxGens=10, popSize=10, verbose=FALSE) plotFit(optRes=ToyT1opt)
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