Improved Kepler Optimization Algorithm

Improved Kepler Optimization Algorithm for Enhanced Feature Selection in Liver Disease Classification
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Updated 19 Mar 2024

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Liver diseases represent a significant healthcare challenge, impacting millions globally and posing complexities in diagnosis. To address this global health concern, this paper introduces a groundbreaking enhancement to the Kepler Optimization Algorithm, termed I-KOA, designed specifically for feature selection in high-dimensional datasets. By harnessing the synergies of Opposition-Based Learning and a Local Escaping Operator grounded in the k-nearest Neighbor (kNN) classifier, I-KOA asserts itself as a potent tool for local exploitation, balanced exploration, and evasion of local optima. To our knowledge, this is the first work to exploit KOA as a feature selection method. Pioneering the utilization of KOA as a feature selection method, the paper rigorously tests I-KOA in two extensive experiments, tackling the complex CEC'22 benchmark suite functions and the intricate landscape of five liver disease datasets. Results underscore I-KOA's unparalleled performance, validated through the Friedman test, where it surpasses seven rival optimization algorithms. Achieving an outstanding overall classification accuracy of 93.46\%, Feature selection size of 0.1042, sensitivity of 97.46\%, precision of 94.37\%, and F-score of 90.35\% across the liver disease datasets, I-KOA's randomized algorithm ensures robust feature selection, striking a compelling balance between subset size and classification efficacy. Acknowledging computational demands and generalization nuances, I-KOA is a formidable tool ready to revolutionize medical diagnosis and decision support systems. The open source codes of the proposed I-KOA are available at

Cite As

Prof. Dr. Essam H Houssein (2024). Improved Kepler Optimization Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/161376-improved-kepler-optimization-algorithm), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2023b
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Version Published Release Notes
1.0.0