Population module

Population module#

class Population[source]#

Population Module is used to initialize the population with given methods and states.

Methods

__init__([states, module_states])

Initialize the population and register the needed states.

initPop(pop_size, prog_paras[, prog_states, ...])

Initialize a population using the 'methods', with a given population size.

Attributes

states

__init__(states=None, module_states=None, **kwargs)[source]#

Initialize the population and register the needed states.

Parameters:

  • states (PyGP.States)

  • module_states (PyGP.States)

  • kwargs

Returns:

a new Population module

Examples

>>> optimizer = Population()
initPop(pop_size, prog_paras, prog_states=None, node_states=None, methods=None, indivs_type=<class 'HyperGP.libs.representation.TGP.TGPIndv'>, **kwargs)[source]#

Initialize a population using the ‘methods’, with a given population size. The population can be initialize with a single method and state or with a list of them.

Parameters:

  • pop_size (int) – The population size

  • prog_paras (ProgBuildStates) – The paras to the ‘methods’ to initialize the individuals. If the ‘methods’ is a list-like object, the ‘prog_paras’ should be a list-like object too and its length should be equal to the pop_size.

  • prog_states (dict) – The states to register to the inidividuals. Also, if the ‘methods’ is a list-like object, the ‘prog_paras’ should be a list-like object and its length should be equal to the pop_size.

  • methods (ProgBuildMethod) – The methods used to initialize the individuals. If it is a list-like object, each individual will be initialize with the corresponding different methods.

  • indivs_type – The type of individuals to create.

Returns:

The individuals initialized will be store in the ‘self.states[‘progs’].indivs’.

Examples

>>> optimizer = Population()
>>> pop.initPop(pop_size=pop_size, prog_paras=ProgBuildStates(pset=pset, depth_rg=[2, 6], len_limit=1000))