| 1 | # Copyright 2006 by Sean Luke and George Mason University
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| 2 | # Licensed under the Academic Free License version 3.0
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| 3 | # See the file "LICENSE" for more information
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| 4 |
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| 5 | parent.0 = ../../simple/simple.params
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| 6 |
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| 7 | # The following is a quick-and-dirty example of how to use the vector
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| 8 | # package to create a simple GA. The GA is as follows:
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| 9 | #
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| 10 | # 1-point crossover over a vector of integers
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| 11 | # ints range from 0 to 100 inclusive. Fitness = sum(vector)
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| 12 | # 2-tournament selection
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| 13 | # Individuals are selected, crossed over, and then mutated
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| 14 | # mutation probability = 0.1
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| 15 | # mutation is randomization of the integer
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| 16 |
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| 17 | pop.subpop.0.size = 10
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| 18 | generations = 20000
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| 19 |
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| 20 | pop.subpop.0.duplicate-retries = 0
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| 21 |
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| 22 | # specify species information
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| 23 | pop.subpop.0.species = ec.vector.IntegerVectorSpecies
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| 24 | pop.subpop.0.species.fitness = ec.simple.SimpleFitness
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| 25 | pop.subpop.0.species.ind = ec.vector.IntegerVectorIndividual
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| 26 | pop.subpop.0.species.min-gene = 0
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| 27 | pop.subpop.0.species.max-gene = 100
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| 28 | pop.subpop.0.species.genome-size = 10
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| 29 | pop.subpop.0.species.crossover-type = one
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| 30 | pop.subpop.0.species.mutation-prob = 0.1
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| 31 |
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| 32 | pop.subpop.0.species.pipe = ec.vector.breed.VectorMutationPipeline
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| 33 | pop.subpop.0.species.pipe.source.0 = ec.vector.breed.VectorCrossoverPipeline
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| 34 |
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| 35 | select.tournament.size = 2
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| 36 | pop.subpop.0.species.pipe.source.0.source.0 = ec.select.TournamentSelection
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| 37 | pop.subpop.0.species.pipe.source.0.source.1 = same
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| 38 |
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| 39 | eval.problem = ec.app.sum.Sum
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