Penentuan Semua Akar Real Polinomial Secara Serentak Menggunakan Integrasi Metode Evolusi Diferensial-Cauchy-Niching Dan Newton Polishing

Authors

  • Ainol Yaqin Institut Teknologi Dan Sains Nahdlatul Ulama Lampung
  • Werry Febrianti Institut Teknologi Sumatera

Keywords:

Akar Polinomial, Differential Evolution, Cauchy Bound, Niching, Newton Polishing

Abstract

Determining all real roots of high-degree polynomials remains a challenge in numerical analysis, particularly when roots are adjacent or clustered. Conventional methods, such as Newton-Raphson, require precise initial guesses and tend to fail when roots are adjacent, often converging to only one dominant root. This study proposes an integration of three complementary methods for the simultaneous determination of all real roots of polynomials: (a) Cauchy Bound to automatically determine the search space, (b) Differential Evolution (DE) with a Niching mechanism for global exploration and simultaneous localization of all roots, and (c) Newton Polishing to enhance root accuracy. The Differential Evolution parameters employed are mutation factor F = 0.5 and crossover probability Cr = 0.9. The method was tested on three fifth-degree polynomials with distinct characteristics: large coefficients (P1), decimal coefficients (P2), and adjacent roots separated by 0.1 (P3). Simulation results demonstrate that the proposed method successfully identified all real roots of the three test polynomials in a single execution, without requiring multiple initial guesses. The average computation time was less than 5 seconds per polynomial. This integrated approach proves more effective than the conventional Newton-Raphson method, which requires initial guesses and remains prone to failure when roots are adjacent.

References

Aziz, N. Z., Salsabillah, L., & Mahmudah, U. (2026). Analisis Efisiensi dan Konvergensi Penyelesaian Metode Newton-Raphson dan Titik Tetap dalam Persamaan Nonlinear Menggunakan Matlab. MATHunesa: Jurnal Ilmiah Matematika, 527-534. https://doi.org/10.26740/mathunesa.v14n1.p527-534

Burden, R. L., Faires, J. D., & Burden, A. M. (2015). Numerical analysis (10th ed.). United States: Cengage Learning. https://doi.org/10.13140/2.1.4830.2406

Cauchy, A. L. (1829). Sur la résolution des équations numériques et sur la théorie de l'élimination. Oeuvres, 87–161.

Febrianti, W., Sidarto, K. A., & Sumarti, N. (2021). Solving some ordinary differential equations numerically using differential evolution algorithm with a simple adaptive mutation scheme. International Conference on Mathematics, Computational Sciences and Statistics 2020 (p. 040003). Surabaya: AIP Publishing LLC. https://doi.org/10.1063/5.0042351

Febrianti, W., Sidarto, K. A., & Sumarti, N. (2022). An Approximate Optimization Method for Solving Stiff Ordinary Differential Equations With Combinational Mutation Strategy of Differential Evolution Algorithm. Mendel, 54-61. https://doi.org/10.13164/mendel.2022.2.054

Jiang, Y., Zhan, Z. H., Tan, K. C., & Zhang, J. (2021). Optimizing niche center for multimodal optimization problems. IEEE Transactions on Cybernetics, 2544-2557.

Liu, Z., Zhang, X., Su, M., Sun, Y., Han, H., & Wang, P. (2020). Convergence analysis of Newton-Raphson method in feasible power-flow for DC network. IEEE Transactions on Power Systems, 4125-4128. https://doi.org/10.1109/TCYB.2021.3125362

Luo, W., Qiao, Y., Lin, X., Xu, P., & Preuss, M. (2022). Hybridizing niching, particle swarm optimization, and evolution strategy for multimodal optimization. IEEE Transactions on Cybernetics, 6707-6720. https://doi.org/10.1109/TCYB.2020.3032995

McNamee, J. M., & Pan, V. Y. (2013). Numerical Methods for Roots of Polynomials, Part II. Netherlands: Elsevier Science.

Nurman, T. A., Mariani, A., & Nurhidayat, R. (2024). Perbandingan metode Muller dan metode Newton-Raphson dengan dekomposisi Adomian yang dimodifikasi dalam menyelesaikan persamaan polinomial. Journal of Mathematics: Theory and Applications (JOMTA), 42-54. https://doi.org/10.31605/jomta.v6i1.3353

Prodanov, E. M. (2022). New bounds on the real polynomial roots. Comptes Rendus de l'Academie Bulgare des Sciences, 178-186. https://doi.org/10.7546/CRABS.2022.02.02

Rahman, Q. I., & Schmeisser, G. (2002). Analytic theory of polynomials (London Mathematical Society Monographs, New Series, Vol. 26). England: Oxford University Press.

Published

2026-07-29

How to Cite

Yaqin, A., & Febrianti, W. (2026). Penentuan Semua Akar Real Polinomial Secara Serentak Menggunakan Integrasi Metode Evolusi Diferensial-Cauchy-Niching Dan Newton Polishing . BULLET : Jurnal Multidisiplin Ilmu, 5(3), 226–233. Retrieved from https://journal.mediapublikasi.id/index.php/bullet/article/view/6478