Enhanced arithmetic optimization algorithm for K-means-based breast MRI segmentation

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doi:10.1016/j.array.2026.101180

Enhanced arithmetic optimization algorithm for K-means-based breast MRI segmentation

2026-09-01

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DOI：10.1016/j.array.2026.101180

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• An improved Arithmetic Optimization Algorithm (I-AOA) with jointly adaptive IMOA and IMOP operators is proposed. • I-AOA achieves the best overall rank among twelve algorithms across fourteen benchmark datasets. • Statistical significance is confirmed via Friedman and Wilcoxon signed-rank tests against eleven competitors. • An ablation study validates the individual contribution of each of the four proposed components. • I-AOA is applied to breast MRI tumor segmentation, outperforming conventional K-means and FCM.

Keywords:

K-means

Lévy flight

Optimization

Clustering techniques

Fitness–distance balance

Breast MRI segmentation

Arithmetic optimization algorithm

Enhanced arithmetic optimization algorithm for K-means-based breast MRI segmentation

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