G1DList – the 1D list chromosome

This is the 1D List representation, this list can carry real numbers or integers or any kind of object, by default, we have genetic operators for integer and real lists, which can be found on the respective modules. This chromosome class extends the GenomeBase.GenomeBase class.

class G1DList.G1DList(size)

G1DList Class - The 1D List chromosome representation

Examples

The instantiation

>>> g = G1DList(10)

Compare

>>> genome2 = genome1.clone()
>>> genome2 == genome1
True

Multiply

>>> genome = population[0]
>>> genome
(...)
[1, 2, 3, 4]
>>> genome_result = genome * 2
>>> genome_result
(...)
[2, 2, 6, 8]

Add

>>> genome
(...)
[1, 2, 3, 4]
>>> genome_result = genome + 2
(...)
[3, 4, 5, 6]

Iteration

>>> for i in genome:
>>>   print i
1
2
3
4

Size, slice, get/set, append

>>> len(genome)
4
>>> genome
(...)
[1, 2, 3, 4]
>>> genome[0:1]
[1, 2]
>>> genome[1] = 666
>>> genome
(...)
[1, 666, 3, 4]
>>> genome.append(99)
>>> genome
(...)
[1, 666, 3, 4, 99]

Parameter:size – the 1D list size

append(value)

Appends an item to the list

Example:

>>> genome.append(44)

Parameter:value – value to be added

clearList()

Remove all genes from Genome

clone()

Return a new instace copy of the genome

Return type:the G1DList clone instance

copy(g)

Copy genome to ‘g’

Example:

>>> genome_origin.copy(genome_destination)

Parameter:g – the destination G1DList instance

crossover

This is the reproduction function slot, the crossover. You can change the default crossover method using:

genome.crossover.set(Crossovers.G1DListCrossoverUniform)

evaluate(**args)

Called to evaluate genome

Parameter:args – this parameters will be passes to the evaluator

evaluator

This is the evaluation function slot, you can add a function with the set method:

genome.evaluator.set(eval_func)

getFitnessScore()

Get the Fitness Score of the genome

Return type:genome fitness score

getParam(key, nvl=None)

Gets an initialization parameter

Example:

>>> genome.getParam("rangemax")
100

Parameters:

• key – the key of param
• nvl – if the key doesn’t exist, the nvl will be returned

getRawScore()

Get the Raw Score of the genome

Return type:genome raw score

initializator

This is the initialization function of the genome, you can change the default initializator using the function slot:

genome.initializator.set(Initializators.G1DListInitializatorAllele)

In this example, the initializator Initializators.G1DListInitializatorAllele() will be used to create the initial population.

initialize(**args)

Called to initialize genome

Parameter:args – this parameters will be passed to the initializator

mutate(**args)

Called to mutate the genome

Parameter:args – this parameters will be passed to the mutator

mutator

This is the mutator function slot, you can change the default mutator using the slot set function:

genome.mutator.set(Mutators.G1DListMutatorSwap)

resetStats()

Clear score and fitness of genome

setParams(**args)

Set the initializator params

Example:

>>> genome.setParams(rangemin=0, rangemax=100, gauss_mu=0, gauss_sigma=1)

Parameter:args – this params will saved in every chromosome for genetic op. use