scirs2_optimize/multi_objective/algorithms/
nsga3.rs

1//! NSGA-III (Non-dominated Sorting Genetic Algorithm III)
2//!
3//! Reference-point-based many-objective evolutionary algorithm.
4
5use super::{MultiObjectiveOptimizer, MultiObjectiveResult};
6use crate::error::OptimizeError;
7use crate::multi_objective::solutions::{Population, Solution};
8use ndarray::{Array1, ArrayView1};
9
10/// NSGA-III optimizer for many-objective optimization
11#[derive(Debug, Clone)]
12pub struct NSGAIII {
13    population_size: usize,
14    n_objectives: usize,
15    n_variables: usize,
16    reference_points: Vec<Vec<f64>>,
17    population: Population,
18    generation: usize,
19    evaluations: usize,
20}
21
22impl NSGAIII {
23    /// Create new NSGA-III optimizer
24    pub fn new(population_size: usize, n_objectives: usize, n_variables: usize) -> Self {
25        Self {
26            population_size,
27            n_objectives,
28            n_variables,
29            reference_points: Vec::new(),
30            population: Population::with_capacity(population_size, n_objectives, n_variables),
31            generation: 0,
32            evaluations: 0,
33        }
34    }
35
36    /// Generate reference points
37    fn generate_reference_points(&mut self) {
38        // TODO: Implement Das and Dennis's systematic approach
39    }
40}
41
42impl MultiObjectiveOptimizer for NSGAIII {
43    fn optimize<F>(&mut self, objective_function: F) -> Result<MultiObjectiveResult, OptimizeError>
44    where
45        F: Fn(&ArrayView1<f64>) -> Array1<f64> + Send + Sync,
46    {
47        // TODO: Implement NSGA-III algorithm
48        Ok(MultiObjectiveResult {
49            pareto_front: Vec::new(),
50            population: Vec::new(),
51            n_evaluations: 0,
52            n_generations: 0,
53            success: true,
54            message: "NSGA-III not yet implemented".to_string(),
55            hypervolume: Some(0.0),
56            metrics: Default::default(),
57        })
58    }
59
60    fn evolve_generation<F>(&mut self, _objective_function: &F) -> Result<(), OptimizeError>
61    where
62        F: Fn(&ArrayView1<f64>) -> Array1<f64> + Send + Sync,
63    {
64        self.generation += 1;
65        Ok(())
66    }
67
68    fn initialize_population(&mut self) -> Result<(), OptimizeError> {
69        // TODO: Implement population initialization
70        Ok(())
71    }
72
73    fn check_convergence(&self) -> bool {
74        // TODO: Implement convergence criteria
75        false
76    }
77
78    fn get_population(&self) -> &Population {
79        &self.population
80    }
81
82    fn get_generation(&self) -> usize {
83        self.generation
84    }
85
86    fn get_evaluations(&self) -> usize {
87        self.evaluations
88    }
89
90    fn name(&self) -> &str {
91        "NSGA-III"
92    }
93}
scirs2_optimize/multi_objective/algorithms/nsga3.rs

scirs2_optimize/multi_objective/algorithms/
nsga3.rs
