eckity.evaluators.simple_individual_evaluator

 1from abc import abstractmethod
 2
 3from overrides import overrides
 4
 5from eckity.evaluators.individual_evaluator import IndividualEvaluator
 6
 7
 8class SimpleIndividualEvaluator(IndividualEvaluator):
 9	"""
10	Computes fitness value for the given individuals.
11	In simple case, evaluates each individual separately.
12	You will need to extend this class with your user-defined fitness evaluation methods.
13	"""
14
15	@overrides
16	def evaluate(self, individual, environment_individuals):
17		"""
18		Updates the fitness score of the given individuals, then returns the best individual
19
20		Parameters
21		----------
22		individual: Individual
23			the current individual to evaluate its fitness
24
25		environment_individuals: list of Individuals
26			the individuals in the current individual's environment
27			those individuals will affect the current individual's fitness
28			(not used in simple case)
29
30		Returns
31		-------
32		Individual
33			the individual with the best fitness out of the given individuals
34		"""
35		super().evaluate(individual, environment_individuals)
36		fitness_score = self.evaluate_individual(individual)
37		individual.fitness.set_fitness(fitness_score)
38		return individual
39
40	@abstractmethod
41	def evaluate_individual(self, individual):
42		"""
43		Evaluate the fitness score for the given individual.
44		This function must be implemented by subclasses of this class (user-defined evaluators)
45
46		Parameters
47		----------
48		individual: Individual
49			The individual to compute the fitness for
50
51		Returns
52		-------
53		float
54			The evaluated fitness value for the given individual
55		"""
56		raise ValueError("evaluate_individual is an abstract method in SimpleIndividualEvaluator")