Struct MultiObjectiveGA 

pub struct MultiObjectiveGA<E, F, C> { /* private fields */ }

Multi-objective optimization using NSGA-II algorithm

This implements the Non-dominated Sorting Genetic Algorithm II (NSGA-II) for multi-objective optimization problems where multiple conflicting objectives need to be optimized simultaneously.

Implementations

impl<E, F, C> MultiObjectiveGA<E, F, C>

where E: Clone + Fit<Array2<Float>, Array1<Float>, Fitted = F>, F: Clone + Predict<Array2<Float>, Array1<Float>> + Score<Array2<Float>, Array1<Float>, Float = f64>, C: CrossValidator,

pub fn new(estimator: E, parameter_space: ParameterSpace, cv: C) -> Self

Create a new multi-objective genetic algorithm optimizer

pub fn config(self, config: GeneticAlgorithmConfig) -> Self

Set the configuration

pub fn add_objective<FObj>(self, objective: FObj) -> Self

where FObj: Fn(&F, &Array2<Float>, &Array1<Float>) -> Result<f64> + Send + Sync + 'static,

Add an objective function

pub fn fit( &mut self, x: &Array2<Float>, y: &Array1<Float>, ) -> Result<MultiObjectiveResult>

Run multi-objective optimization