def get_population_iqr(population, n_objectives):
"""
Compute the inter-quartile range (IQR) of the population regarding
each objective.
:param population: The input population
:param n_objectives: Total number of objectives
:return: List with the IQR regarding each objective
"""
# Initialise base IQR as 0 for each objective
iqr = [0 for _ in range(n_objectives)]
for m in range(n_objectives):
# Iterate over all objectives
# Sort the population with respect to the current objective.
sorted_pop = sorted(
population,
key=lambda ind: params['FITNESS_FUNCTION'].value(ind.fitness, m),
reverse=params['FITNESS_FUNCTION'].fitness_functions[m].maximise)
# Get the inter-quartile fitness ranges for the current objective.
iqr[m] = (params['FITNESS_FUNCTION'].value(
percentile(sorted_pop, 75).fitness, m) -
params['FITNESS_FUNCTION'].value(
percentile(sorted_pop, 25).fitness, m))
return iqr
def get_population_iqr(population, n_objectives):
"""
Compute the inter-quartile range (IQR) of the population regarding
each objective.
:param population: The input population
:param n_objectives: Total number of objectives
:return: List with the IQR regarding each objective
"""
# Initialise base IQR as 0 for each objective
iqr = [0 for _ in range(n_objectives)]
for m in range(n_objectives):
# Iterate over all objectives
# Sort the population with respect to the current objective.
sorted_pop = sorted(population, key=lambda ind:
params['FITNESS_FUNCTION'].value(ind.fitness, m),
reverse=params['FITNESS_FUNCTION'].
fitness_functions[m].maximise)
# Get the inter-quartile fitness ranges for the current objective.
iqr[m] = (params['FITNESS_FUNCTION'].value(percentile(sorted_pop,
75).fitness, m) -
params['FITNESS_FUNCTION'].value(percentile(sorted_pop,
25).fitness, m))
return iqr
def get_population_iqr(population, n_objectives):
"""
Compute the interquartile range (IQR) of the population regarding
each objective.
:param population: The input population
:param n_objectives: Total number of objectives
:return: List with the IQR regarding each objective
"""
iqr = [0] * n_objectives
for m in range(n_objectives):
sorted_pop = sorted(population, key=lambda ind: value(ind.fitness, m))
iqr[m] = (value(percentile(sorted_pop, 75).fitness, m) -
value(percentile(sorted_pop, 25).fitness, m))
return iqr