Struct NSGAII 

pub struct NSGAII<C, M, Sel>
where
    C: CrossoverOperator<f64, ParetoCrowdingDistanceQuality>,
    M: MutationOperator<f64, ParetoCrowdingDistanceQuality>,
    Sel: SelectionOperator<f64, ParetoCrowdingDistanceQuality>,
{ /* private fields */ }

Trait Implementations

impl<C, M, Sel> Algorithm<f64, ParetoCrowdingDistanceQuality> for NSGAII<C, M, Sel>

where C: CrossoverOperator<f64, ParetoCrowdingDistanceQuality>, M: MutationOperator<f64, ParetoCrowdingDistanceQuality>, Sel: SelectionOperator<f64, ParetoCrowdingDistanceQuality>,

type SolutionSet = VectorSolutionSet<f64, ParetoCrowdingDistanceQuality>

type Parameters = NSGAIIParameters<C, M, Sel>

type StepState = NSGAIIState

fn new(parameters: NSGAIIParameters<C, M, Sel>) -> Self

fn algorithm_name(&self) -> &str

Human-readable algorithm name used by observers and runtime reports.

fn termination_criteria(&self) -> TerminationCriteria

Termination criteria configured for this algorithm instance.

fn observers_mut( &mut self, ) -> &mut Vec<Box<dyn AlgorithmObserver<f64, ParetoCrowdingDistanceQuality>>>

Mutable access to registered observers.

fn set_solution_set(&mut self, solution_set: Self::SolutionSet)

Stores the last solution set produced by run.

fn validate_parameters(&self) -> Result<(), String>

Returns Ok(()) when parameters are valid, or Err(message) otherwise.

fn get_solution_set(&self) -> Option<&Self::SolutionSet>

fn initialize_step_state( &self, problem: &(impl Problem<f64, ParetoCrowdingDistanceQuality> + Sync), ) -> Self::StepState

fn step( &self, problem: &(impl Problem<f64, ParetoCrowdingDistanceQuality> + Sync), state: &mut Self::StepState, _context: &ExecutionContext<f64, ParetoCrowdingDistanceQuality>, )

fn build_snapshot( &self, _problem: &(impl Problem<f64, ParetoCrowdingDistanceQuality> + Sync), state: &Self::StepState, ) -> ExecutionStateSnapshot<f64, ParetoCrowdingDistanceQuality>

fn finalize_step_state(&self, state: Self::StepState) -> Self::SolutionSet

fn run<P>(&mut self, problem: &P) -> Result<Self::SolutionSet, String>

where Self: Sized, Self::SolutionSet: Clone, P: Problem<T, Q> + Sync,

Runs the optimization algorithm on the given problem.

fn checkpoint_algorithm_parameters(&self) -> String

Returns a string used to fingerprint algorithm checkpoint compatibility.

fn get_resume_checkpoint( &self, problem: &(impl Problem<T, Q> + Sync), checkpoint_dir: &PathBuf, ) -> Option<CheckpointRecord>

Resolves a resumable checkpoint when --resume is present.

impl<C, M, Sel> Observable<f64, ParetoCrowdingDistanceQuality> for NSGAII<C, M, Sel>

where C: CrossoverOperator<f64, ParetoCrowdingDistanceQuality>, M: MutationOperator<f64, ParetoCrowdingDistanceQuality>, Sel: SelectionOperator<f64, ParetoCrowdingDistanceQuality>,

fn add_observer( &mut self, observer: Box<dyn AlgorithmObserver<f64, ParetoCrowdingDistanceQuality>>, )

Adds an observer to this observable

fn clear_observers(&mut self)

Removes all observers