基于改进Adomian分解的混合萤火虫算法优化非线性Hirota-Satsuma耦合KdV系统参数

IF 0.5 Q4 MULTIDISCIPLINARY SCIENCES

Journal of Mathematical and Fundamental Sciences Pub Date : 2020-12-31 DOI:10.5614/J.MATH.FUND.SCI.2020.52.3.7

O. Qasim, K. Abed, A. F. Qasim

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引用次数: 4

摘要

本文采用萤火虫算法(FFA)和改进Adomian分解方法(MADM)的混合方法对非线性Hirota-Satsuma耦合KdV系统的几个参数进行了估计。结果表明，当选择合适的适应度函数时，最优参数可以显著改善该问题的解。结果表明，近似解与精确解具有较高的相容性，与经典的MADM方法相比，FFA_MADM混合方法具有更高的效率和精度。

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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 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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来源期刊

Journal of Mathematical and Fundamental Sciences MULTIDISCIPLINARY SCIENCES-

CiteScore

1.30

自引率

0.00%

发文量

审稿时长

24 weeks

期刊介绍： Journal of Mathematical and Fundamental Sciences welcomes full research articles in the area of Mathematics and Natural Sciences from the following subject areas: Astronomy, Chemistry, Earth Sciences (Geodesy, Geology, Geophysics, Oceanography, Meteorology), Life Sciences (Agriculture, Biochemistry, Biology, Health Sciences, Medical Sciences, Pharmacy), Mathematics, Physics, and Statistics. New submissions of mathematics articles starting in January 2020 are required to focus on applied mathematics with real relevance to the field of natural sciences. Authors are invited to submit articles that have not been published previously and are not under consideration elsewhere.