PyNOA
Last update: 05.08.2026class PyNOA.AdaptionMethods
Enumeration
Arithmetic = PyNOA.AdaptionMethods.Arithmetic
Copy = PyNOA.AdaptionMethods.Copy
Multipoint = PyNOA.AdaptionMethods.Multipoint
PSO = PyNOA.AdaptionMethods.PSO
SBX = PyNOA.AdaptionMethods.SBX
Singlepoint = PyNOA.AdaptionMethods.Singlepoint
Uniform = PyNOA.AdaptionMethods.Uniform
class PyNOA.Design
__init__()
get_actual_number() → int
get_objective() → doubleVec
get_parameters() → doubleVec
class PyNOA.MutationMethods
Enumeration
ConstraintAdaptive = PyNOA.MutationMethods.ConstraintAdaptive
ModulatedAdaptive = PyNOA.MutationMethods.ModulatedAdaptive
NormalDistribution = PyNOA.MutationMethods.NormalDistribution
SelfAdaptive = PyNOA.MutationMethods.SelfAdaptive
class PyNOA.NOA
__init__()
__init__(arg2: PyOptimizerBase.SettingsBase)
class PyNOA.NOASettings
__init__()
append_adaption_method(arg2: AdaptionMethods)
Append a new adaption method. Use set_adaption_method to reset.
change_default_settings(population: int size, max: int. generations, lower: doubleVec bounds, upper: doubleVec bounds)
get_adaption_methods() → list
Get a list of all set adaption methods.
get_arch_size() → int
Get maximum archive size.
get_cliff_value() → float
Get cliff for penalty term.
get_contraint_scaling_factor() → float
Get scaling factor for constraints.
get_crossover_probabilities() → list
Get a list of all crossover probabilities.
get_distribution_parameters() → list
Get a list of all distribution parameters.
get_fitness_scaling() → bool
Get use automatic fitness scaling.
get_hybrid() → bool
Get use hybrid adaption.
get_max_archive_size() → int
Return maximum archive size.
get_max_gen() → int
Get maximum number of generations.
get_min_gen() → int
Get minimum number of generations.
get_mut_gnr() → float
Get number of mutating generations.
get_mut_rate() → float
Get probability of mutation.
get_mutate() → bool
Get whether to mutate or not.
get_mutation_method() → MutationMethods
Get mutation method.
get_mutation_std_dev() → tuple
Get mutation standard deviation values.
get_number_of_parents() → int
get_numbers_of_crosspoints() → list
Get a list of all numbers of crosspoints.
get_penalty_method() → PenaltyMethods
Get penalty method to evaluate constraint violations.
get_ranking_method() → RankingMethods
Get ranking method.
get_seed() → int
get_selection_method() → SelectionMethods
Get selection method.
get_selection_pressure() → float
Get value for selection pressure.
get_stagnation_generations() → int
Get convergence parameter.
get_stagnation_limit() → float
Get convergence parameter.
get_start_pop_size() → int
get_tournament_size() → int
Get number of designs to compare in tournament.
property parameter_free
Whether to use parameter free constraint handling in penalty method.
property roulette_with_replacement
Roulette selection applied with replacement.
set_adaption_method(arg2: AdaptionMethods)
Reset adaption methods and set first adaption method.
set_arch_size(arg2: int)
Set maximum archive size.
set_bounds(lower: doubleVec bounds, upper: doubleVec bounds)
Set limiting bound for each dimension.
set_cliff_value(arg2: float)
Set cliff for penalty term.
set_contraint_scaling_factor(arg2: float)
Set scaling factor for constraints.
set_crossover_probability(arg2: float)
Set crossover rate.
set_default(adaption: AdaptionMethods method, local: bool search)
Apply default settings.
set_distribution_parameter(arg2: float)
Set distribution parameter for SBX.
set_ea_balanced()
Set defaults for EA - balanced.
set_ea_global()
Set defaults for EA - global.
set_ea_local()
Set defaults for EA - local.
set_fitness_scaling(arg2: bool)
Set use automatic fitness scaling.
set_hybrid(arg2: bool)
Set use hybrid adaption.
set_max_gen(arg2: int)
Set maximum number of generations.
set_min_gen(arg2: int)
Set minimum number of generations.
set_mut_gnr(arg2: float)
Set number of mutating generations.
set_mut_rate(arg2: float)
Set probability of mutation.
set_mutate(arg2: bool)
Set whether to mutate or not.
set_mutation_method(arg2: MutationMethods)
Set mutation method.
set_mutation_std_dev(lower: float bound continuous parameter, upper: float bound continuous parameter, lower: float bound discrete parameter, upper: float bound discrete parameter)
Set mutation standard deviation.
set_number_of_crosspoints(arg2: int)
Set number of crosspoints.
set_number_of_parents(Set: int number of parents.)
set_penalty_method(arg2: PenaltyMethods)
Set penalty method to evaluate constraint violations.
set_pso_coefficients(intertia: float weight at first generation, intertia: float weight at last generation, personal: float acceleration coefficient at first generation, personal: float acceleration coefficient at last generation, global: float acceleration coefficient at first generation, global: float acceleration coefficient at last generation)
Set parameters relevant to PSO.
set_pso_global()
Set defaults for PSO - global.
set_pso_local()
Set defaults for PSO - local.
set_ranking_method(arg2: RankingMethods)
Set ranking method.
set_seed(arg2: int)
set_selection_method(arg2: SelectionMethods)
Set selection method.
set_selection_pressure(arg2: float)
Set value for selection pressure.
set_stagnation_generations(arg2: int)
Set convergence parameter.
set_stagnation_limit(arg2: float)
Set convergence parameter.
set_start_pop_size(Set: int start population size.)
set_tournament_size(arg2: int)
Set number of designs to compare in tournament.
class PyNOA.PenaltyMethods
Enumeration
DISTANCE = PyNOA.PenaltyMethods.DISTANCE
HYBRID = PyNOA.PenaltyMethods.HYBRID
NUM_VIOLATIONS = PyNOA.PenaltyMethods.NUM_VIOLATIONS
class PyNOA.RankingMethods
Enumeration
CrowdingDensity = PyNOA.RankingMethods.CrowdingDensity
CumulatedDensity = PyNOA.RankingMethods.CumulatedDensity
Exponential = PyNOA.RankingMethods.Exponential
Linear = PyNOA.RankingMethods.Linear
Pareto = PyNOA.RankingMethods.Pareto
class PyNOA.SelectionMethods
Enumeration
