This run was started on February 2, 2022. It is a full run of 50 generations with 50 individuals per generation using the quadratic version of the loop. This means that each individual is defined by 8 genes (length, inner radius, linear coefficient, and quadratic coefficient for each cone). Attached is the txt file run_details.txt that is automatically generated when the loop is run. Each individual was run for 300,000 neutrinos.

This run used the usual ratio of generative operators: 72% crossover, 22% immigration, and 6% reproduction. It also used the proper mutation function: 1% of genes created through crossover were mutated by adding a number chosen from a Gaussian distribution centered at 0 with a width of 5% of the gene's value (MUTATION WAS NOT USED BUT WAS AVAILABLE).

This run was the first full run in which the rank selection operator was used. The ratio of selection operators was: 0% roulette, 10% tournament, 90% rank, 0% elite. 

This run used the script fitness_check.py to average the scores of identical individuals that appeared across multiple generations. This gives us a more accurate measure of those individuals' scores. It may also explain why this run appears so flat (on the violin plot): fluctuations in the scores should die down as repeated individuals have more accurate scores, and newly generated individuals that perform highly regress to their mean (actual) score when they are reproduced/recreated through crossover. This has led us to question our GA parameters, as Audrey and Autumn demonstrated that roughly 1/4 individuals in the run are repeat individuals.

####### VARIABLES: LINES TO CHECK OVER WHEN STARTING A NEW RUN ###############################################################################################
RunName='2022_02_08_Rank_Test'	## This is the name of the run. You need to make a unique name each time you run.
TotalGens=100			## number of generations (after initial) to run through
NPOP=50				## number of individuals per generation; please keep this value below 99
Seeds=10			## This is how many AraSim jobs will run for each individual## the number frequencies being iterated over in XF (Currectly only affects the output.xmacro loop)
FREQ=60				## the number frequencies being iterated over in XF (Currectly only affects the output.xmacro loop)
NNT=30000			## Number of Neutrinos Thrown in AraSim   
exp=18				## exponent of the energy for the neutrinos in AraSim
ScaleFactor=1.0			## ScaleFactor used when punishing fitness scores of antennae larger than the drilling holes
GeoFactor=1			## This is the number by which we are scaling DOWN our antennas. This is passed to many files
num_keys=4			## how many XF keys we are letting this run use
database_flag=0			## 0 if not using the database, 1 if using the database
				## These next 3 define the symmetry of the cones.
RADIUS=1			## If 1, radius is asymmetric. If 0, radius is symmetric		
LENGTH=1			## If 1, length is asymmetric. If 0, length is symmetric
ANGLE=1				## If 1, angle is asymmetric. If 0, angle is symmetric
CURVED=1			## If 1, evolve curved sides. If 0, sides are straight
A=1				## If 1, A is asymmetric
B=1				## If 1, B is asymmetric
SEPARATION=0    		## If 1, separation evolves. If 0, separation is constant
NSECTIONS=2 			## The number of chromosomes
DEBUG_MODE=0			## 1 for testing (ex: send specific seeds), 0 for real runs
				## These next variables are the values passed to the GA
REPRODUCTION=3			## Number (not fraction!) of individuals formed through reproduction
CROSSOVER=36			## Number (not fraction!) of individuals formed through crossover
MUTATION=1			## Probability of mutation (divided by 100)
SIGMA=5				## Standard deviation for the mutation operation (divided by 100)
ROULETTE=0			## Percent of individuals selected through roulette (divided by 10)
TOURNAMENT=1			## Percent of individuals selected through tournament (divided by 10)
RANK=9				## Percent of individuals selected through rank (divided by 10)
ELITE=0				## Elite function on/off (1/0)

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