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Issue: 2026: Natural Sciences Issue - Online First
Section: Natural Sciences Issue (Vietnamese)
DOI: 10.52714/dthu.ns.2437.1922
Date Published: 03/05/2026
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Tran, D. H. N., Le, T. N. Q., Nguyen, D. D., Huynh, T. B. N., & Đinh Nguyễn, T. N. (2026). Application of a hybrid football team training and Kepler optimization algorithm for experimental design optimization. Dong Thap University Journal of Science, Online First. https://doi.org/10.52714/dthu.ns.2437.1922

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Application of a hybrid football team training and Kepler optimization algorithm for experimental design optimization

Dinh Hai Nguyen Tran1, Thi Nhu Quynh Le1, Dinh Duc Nguyen1, Thi Bich Ngoc Huynh1, Trọng Nghĩa Đinh Nguyễn2,
1 Ho Chi Minh City University of Industry and Trade
2 Trường Đại học Công thương TPHCM

Main Article Content

Abstract

The current paper introduces an experimental design optimization technique based on a football team training algorithm blended with the Kepler optimization algorithm (FTTA-KOA). Using the mechanics of orbiting and heavenly bodies, KOA offers considerable opportunities for global search in the solution space. FTTA offers exploitation in promising areas, simulating units training and strategic interaction of football teams. The application of two metaheuristic techniques is expected to improve exploration and exploitation both and sustain faster convergence. The results of the experiments conducted for the design of experiments using different test cases showed that the hybrid approach of the proposed method is better than the application of individual algorithms, thus extending the search for complicated optimization solutions integrated with reality.

Keywords

Football Team Training Algorithm, Kepler Optimization Algorithm, Design of Experiments, Hybrid Optimization, Optimal Performance

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

References

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