úÎ(Ü'Ã     portable experimental Safe-InferedIA mutation operator takes a genome and returns (a possibly altered) copy  of it. #A recombination operator takes two parent genomes and returns two  children. EA selection function is responsible for selection. It takes pairs of H genomes and their fitness and is responsible for returning one or more  individuals. IA fitness functions assigns a fitness score to a genome. The rest of the H individuals of that generation is also provided in case the fitness is " in proportion to its neighbours. A genome is a list (e.g. a ).  An individual's fitness is simply a number. KRuns the evolutionary algorithm with the given start population. This will - produce an infinite list of generations and  or  should be K used to decide how many generations should be computed. To run a specific  number of generations, use :  B let generations = take 50 $ runEA myFF mySF myROp myMOp myStdGen NTo run until a criterion is met, e.g. that an individual with a fitness of at  least 19 is found,  can be used: 6 let criterion = any id . map (\i -> snd i >= 19.0) V let generations = takeWhile (not . criterion) $ runEA myFF mySF myROp myMOp myStdGen  Safe-Infered 9Returns the average fitnesses for a list of generations. FReturns the maximum fitness per generation for a list of generations. FReturns the minimum fitness per generation for a list of generations. JReturns the standard deviation of the fitness values per generation fot a  list of generations. Returns a list of len random genomes who has length  genomeLen made of  elements in the range [from,to]. IApplies sigma scaling to a list of fitness values. In sigma scaling, the K standard deviation of the population fitness is used to scale the fitness  scores. MTakes a list of fitness values and returns rank scaled values. For a list of n values, this * means that the best fitness is scaled to n, the second best to n-1 , and so on. LFitness-proportionate selection: select a random item from a list of (item,  score) where each item'2s chance of being selected is proportional to its  score %Performs tournament selection amoing size$ individuals and returns the winner Ltakes a list of (genome,fitness) pairs and returns a list of genomes sorted  by fitness (descending) Ltakes a list of generations and returns a string intended for plotting with  gnuplot.              SimpleEA-0.2.1 AI.SimpleEAAI.SimpleEA.Utils MutationOpRecombinationOpSelectionFunction FitnessFuncGenomeFitnessrunEA avgFitnesses maxFitnesses minFitnesses stdDeviations randomGenomes sigmaScale rankScale fitPropSelecttournamentSelectelitegetPlottingDatabaseGHC.BaseStringGHC.Listtake takeWhile