Solving the coupled Schrödinger -Korteweg- de-Vries system by modified variational iteration method with genetic algorithm

A. Mustafa, W. Al-Hayani
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Abstract

             A system of nonlinear partial differential equations was solved using a modified variational iteration method (MVIM) combined with a genetic algorithm. The modified method introduced an auxiliary parameter (p) in the correction functional to ensure convergence and improve the outcomes. Before applying the modification, the traditional variational iteration method (VIM) was used firstly. The method was applied to numerically solve the system of Schrödinger-KdV equations. By comparing the two methods in addition to some of the previous approaches, it turns out the new algorithm converges quickly, generates accurate solutions and shows improved accuracy. Additionally, the method can be easily applied to various linear and nonlinear differential equations.
用遗传算法改进变分迭代法求解Schrödinger - korteweg - de-Vries耦合系统
采用改进变分迭代法结合遗传算法求解一类非线性偏微分方程组。改进后的方法在修正函数中引入了辅助参数p,以保证收敛性和改善结果。在进行修正之前,首先使用传统的变分迭代法(VIM)。应用该方法对Schrödinger-KdV方程组进行了数值求解。通过对两种方法的比较,以及之前的一些方法,结果表明,新算法收敛速度快,生成的解准确,精度有所提高。此外,该方法可以很容易地应用于各种线性和非线性微分方程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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