Fig. 11 | Scientific Reports

Fig. 11

From: Chaotic Lévy and adaptive restart enhance the Manta Ray foraging optimizer for gene feature selection

Fig. 11The alternative text for this image may have been generated using AI.

Computational scalability analysis of CLA-MRFO. (a) Total runtime growth with dimension. (b) Breakdown of computational cost by component. (c) Scaling efficiency compared to theoretical linear scaling. Results confirm sub-linear time complexity and identify chaotic operations as the primary computational burden.

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