gaft.operators.mutation¶

Flip Bit mutation implementation.

class gaft.operators.mutation.flip_bit_mutation.FlipBitBigMutation(pm, pbm, alpha)¶

Mutation operator using Flip Bit mutation implementation with adaptive big mutation rate to overcome premature or local-best solution.

Parameters:	pm (float in (0.0, 1.0]) – The probability of mutation (usually between 0.001 ~ 0.1) pbm (float) – The probability of big mutation, usually more than 5 times bigger than pm. alpha (float, in range (0.5, 1)) – intensive factor

mutate(individual, engine)¶

Mutate the individual with adaptive big mutation rate.

Parameters:	individual (`gaft.components.IndividualBase`) – The individual on which crossover operation occurs engine (`gaft.engine.GAEngine`) – Current genetic algorithm engine
Returns:	A mutated individual
Return type:	`gaft.components.IndividualBase`

class gaft.operators.mutation.flip_bit_mutation.FlipBitMutation(pm)¶

Mutation operator with Flip Bit mutation implementation.

Parameters:	pm (float in range (0.0, 1.0]) – The probability of mutation (usually between 0.001 ~ 0.1)

mutate(individual, engine)¶

Mutate the individual.

Parameters:	individual (`gaft.components.IndividualBase`) – The individual on which crossover operation occurs engine (`gaft.engine.GAEngine`) – Current genetic algorithm engine
Returns:	A mutated individual
Return type:	`gaft.components.IndividualBase`

gaft.operators.mutation.flip_bit_mutation.random() → x in the interval [0, 1).¶