pop = GOMORS(problem=PROBLEM,
dim=DIMENSION,
size=POP_SIZE,
n_objs=N_OBJS,
max_generation=MAX_GENERATION,
max_episode=MAX_EPISODE,
reference=REF,
minimize=MINIMIZE,
stopping_rule=STOPPING_RULE,
max_eval=MAX_EVAL,
revolution=False)
pop.selection_fun = pop.compute_front
pop.mutation_fun = gaussian_mutator
pop.crossover_fun = multiroutine_crossover(
routines=[nsga_crossover, random_crossover], ns=[1., 1.])
pop.embedded_ea = NSGA2
pop.mutaton_rate = MUTATION_RATE
# Parametrization
params_ea = {
'u': MUTATION_U,
'st': MUTATION_ST,
'trial_method': 'lhs',
'trial_criterion': 'cm'
}
kernel = CubicKernel
tail = LinearTail
params_surrogate = \
{'kernel': kernel,
pop = GOMORS(problem=PROBLEM,
dim=DIMENSION,
size=POP_SIZE,
n_objs=N_OBJS,
fitness_fun=PM_FUN,
max_generation=MAX_GENERATION,
max_episode=MAX_EPISODE,
reference=REF,
minimize=MINIMIZE,
stopping_rule=STOPPING_RULE,
max_eval=MAX_EVAL)
pop.selection_fun = pop.compute_front
pop.mutation_fun = gaussian_mutator
pop.crossover_fun = multiroutine_crossover(
routines=[nsga_crossover, random_crossover], ns=[1., 2.])
pop.embedded_ea = MOEAD
pop.mutaton_rate = MUTATION_RATE
# Parametrization
params_ea = {
'u': MUTATION_U,
'st': MUTATION_ST,
'trial_method': 'lhs',
'trial_criterion': 'cm'
}
kernel = CubicKernel
tail = LinearTail
params_surrogate = \
{'kernel': kernel,