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src/b/i/biopython-1.63/Bio/NeuralNetwork/Gene/Schema.py   biopython(Download)
# genetic algorithm libraries
from Bio.GA import Organism
from Bio.GA.Evolver import GenerationEvolver
from Bio.GA.Mutation.Simple import SinglePositionMutation
from Bio.GA.Crossover.Point import SinglePointCrossover
 
        # set up the evolver and do the evolution
        evolver = GenerationEvolver(start_population, self.selector)
        evolved_pop = evolver.evolve(finisher.is_finished)
 

src/b/i/biopython-HEAD/Bio/NeuralNetwork/Gene/Schema.py   biopython(Download)
# genetic algorithm libraries
from Bio.GA import Organism
from Bio.GA.Evolver import GenerationEvolver
from Bio.GA.Mutation.Simple import SinglePositionMutation
from Bio.GA.Crossover.Point import SinglePointCrossover
 
        # set up the evolver and do the evolution
        evolver = GenerationEvolver(start_population, self.selector)
        evolved_pop = evolver.evolve(finisher.is_finished)
 

src/b/i/biopython-1.63/Tests/test_GAQueens.py   biopython(Download)
 
# Genetic Algorithm stuff
from Bio.GA.Evolver import GenerationEvolver
from Bio.GA import Organism
from Bio.GA.Mutation.Simple import ConversionMutation
 
    start_time = time.ctime(time.time())
    evolver = GenerationEvolver(start_population, t_selector)
    evolved_pop = evolver.evolve(queens_solved)
    end_time = time.ctime(time.time())

src/b/i/biopython-HEAD/Tests/test_GAQueens.py   biopython(Download)
 
# Genetic Algorithm stuff
from Bio.GA.Evolver import GenerationEvolver
from Bio.GA import Organism
from Bio.GA.Mutation.Simple import ConversionMutation
 
    start_time = time.ctime(time.time())
    evolver = GenerationEvolver(start_population, t_selector)
    evolved_pop = evolver.evolve(queens_solved)
    end_time = time.ctime(time.time())