Table of Contents :
Linear5
Linear9
Compact9
Compact13
Compact21
Compact25
BitFlipMutation
ByteMutation
ByteMutationRandom
FloatUniformMutation
InsertionMutation
ShuffleMutation
SwapMutation
TwoOptMutation
ArithmeticCrossover
BlxalphaCrossover
ByteOnePointCrossover
ByteUniformCrossover
FlatCrossover
LinearCrossover
OnePointCrossover
PMXCrossover
TwoPointCrossover
UnfairAvarageCrossover
UniformCrossover
TournamentSelection
RouletteWheelSelection
AbstractProblem
ExampleProblem
run_alpha_cga_example()
run_ccga_example()
run_cga_example()
RealProblem
run_mcccga_example()
run_sync_cga_example()
OptimizationMethod
OptimizationMethod.ALPHA_CGA
OptimizationMethod.CCGA
OptimizationMethod.CGA
OptimizationMethod.MCCCGA
OptimizationMethod.SYNCGA
Population
Population.method_name
Population.ch_size
Population.n_rows
Population.n_cols
Population.gen_type
Population.problem
Population.vector
Population.__init__()
Population.initial_population()
GeneType
GeneType.BINARY
GeneType.PERMUTATION
GeneType.REAL
Individual
Individual.chromosome
Individual.fitness_value
Individual.position
Individual.neighbors_positions
Individual.neighbors
Individual.gen_type
Individual.ch_size
Individual.__init__()
Individual.generate_candidate()
Individual.getneighbors()
Individual.getneighbors_positions()
Individual.randomize()
Individual.setneighbors()
Individual.setneighbors_positions()
Grid
Grid.n_rows
Grid.n_cols
Grid.__init__()
Grid.make_2d_grid()
bits_to_float()
bits_to_floats()
float_to_bits()
floats_to_bits()
Result
Result.__init__()
Result.chromosome
Result.fitness_value
Result.generation_found
alpha_cga()
ccga()
cga()
compete()
generate_probability_vector()
mcccga()
random_vector_between()
sample()
sync_cga()
update_vector()