Function hypervolume_wfg 

pub fn hypervolume_wfg(
    front: &[Vec<f64>],
    reference: &[f64],
) -> OptimizeResult<f64>

Compute the exact hypervolume using the WFG (While-Hingston-Barone-Huband) recursive algorithm for arbitrary dimensionality.

WFG is asymptotically optimal for the general case and handles any number of objectives. For 2-D, prefer hypervolume_2d which is faster in practice.

Arguments

• front — Pareto front as &[Vec<f64>]. All objectives minimised. Every inner vector must have the same length.
• reference — Reference point slice, same length as each objective vector.

Returns

Exact hypervolume dominated by front relative to reference. Returns 0.0 for an empty front.

Errors

Returns an error if objective-vector lengths are inconsistent.

Examples

use scirs2_optimize::multiobjective::hypervolume::hypervolume_wfg;
let front = vec![vec![0.0, 1.0], vec![0.5, 0.5], vec![1.0, 0.0]];
let hv = hypervolume_wfg(&front, &[2.0, 2.0]).expect("valid input");
assert!((hv - 2.75).abs() < 1e-10);