Optimal Parameters for Nonlinear Hirota-Satsuma Coupled KdV System by Using Hybrid Firefly Algorithm with Modified Adomian Decomposition
In this paper, several parameters of the non-linear Hirota-Satsuma coupled KdV system were estimated using a hybrid between the Firefly Algorithm (FFA) and the Modified Adomian decomposition method (MADM). It turns out that optimal parameters can significantly improve the solutions when using a suit...
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Published in: | Journal of mathematical and fundamental sciences Vol. 52; no. 3; pp. 339 - 352 |
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Main Authors: | , , |
Format: | Journal Article |
Language: | English |
Published: |
ITB Journal Publisher
2021
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Subjects: | |
Online Access: | Get full text |
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Summary: | In this paper, several parameters of the non-linear Hirota-Satsuma coupled KdV system were estimated using a hybrid between the Firefly Algorithm (FFA) and the Modified Adomian decomposition method (MADM). It turns out that optimal parameters can significantly improve the solutions when using a suitably selected fitness function for this problem. The results obtained show that the approximate solutions are highly compatible with the exact solutions and that the hybrid method FFA_MADM gives higher efficiency and accuracy compared to the classic MADM method. |
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ISSN: | 2337-5760 2338-5510 |
DOI: | 10.5614/j.math.fund.sci.2020.52.3.7 |