The model.
the minimum distance where we consider a collison occured
19 Sensor Readings of distances
Steering Angles gives the steering angle of the whole car
Front Wheel and Back Wheel -> positions of the wheels (won't use most probably)
All of these objects exist in the main.
unipolarBipolarSelector # 0 (Unipolar) or 1 (Bipolar) - changes the activation function
dt #[Seconds] Time Step
timeout
nbrOfInputNodes # number of sensor inputs
nbrOfGenerations_max # after which the model ends
goodFitness # time
populationSize #for each generation
corssoverProb_mean_percent
corssoverProb_stdDev_percent
mutationProb
selection_option # 0(Tournament) or 1 (Truncation)
tournament_size
truncation_percentage
replacement_option # 0: All children replace parents unless best ceil(PercentBestParentsToKeep), 1: Use good parents based on tournaments and add other children, 2: Use good parents
PercentBestParentsToKeep
keptParentsAreGolobal_option
weightsRange #Intially wights are random following a uniform distrubution from -weightsRange to weightsRange. Mutation adds random weights follwoing the same distribution.
wheelBase #The distance between the two axles.
width
length
wheelLength
wheelWidth
speed
angles # for each sensor reading.
# Note that they need to match the original ones
angles # for each sensor reading.
# Note that they need to match the original ones
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