geneticengine.algorithms.gp.gp

Attributes

logger

Classes

GeneticProgramming

Represents the Genetic Programming algorithm. Defaults as given in A

Functions

default_generic_programming_step()

The default step in Genetic Programming.

Module Contents

geneticengine.algorithms.gp.gp.logger

geneticengine.algorithms.gp.gp.default_generic_programming_step()

The default step in Genetic Programming.

class geneticengine.algorithms.gp.gp.GeneticProgramming(problem, budget, representation, random=None, tracker=None, population_size=100, population_initializer=None, step=None)

Bases: geneticengine.algorithms.heuristics.HeuristicSearch

Represents the Genetic Programming algorithm. Defaults as given in A Field Guide to GP, p.17, by Poli and Mcphee:

Parameters:

• problem (Problem) – A SingleObjectiveProblem or a MultiObjectiveProblem problem.

• budget (SearchBudget) – how long to search for

• representation (Representation) – The individual representation used by the GP program.

• random (RandomSource) – A RNG instance

• recorder (ProgressTracker) – How to record the results of evaluations

• population_size (int) – The population size (default = 200).

• population_initializer (PopulationInitializer) – The method to generate new individuals.

• step (GeneticStep) – The main structure of evolution.

• tracker (geneticengine.evaluation.tracker.ProgressTracker | None)

population_size = 100

population_initializer

step

perform_search()

Return type:

list[geneticengine.solutions.individual.Individual] | None