Improved chaos-enhanced FOX for clustering-based supervised medical classification.

Preliminary experiments conducted with alternative chaotic maps did not yield practically significant improvements in classification accuracy.

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While mean convergence curves averaged over multiple independent runs can provide an overall trend, such representations may smooth out informative search behaviors and obscure distinctive convergence characteristics of population-based metaheuristic algorithms.

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