用遗传算法和Nelder-Mead方法求解悬索桥模型的积分-微分方程

Ahmed Zeeshan , M. Atlas
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引用次数: 6

摘要

本文讨论了悬索桥建模中出现的四阶积分微分问题。采用遗传算法(GA)和Nelder-Mead (NM)混合优化技术,结合配置有限元法和最优同伦渐近法进行优化。并与现有的解决方案进行了比较。对结果进行了很好的比较,并给出了图表。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal solution of integro-differential equation of Suspension Bridge Model using Genetic Algorithm and Nelder-Mead method

In this paper, a fourth order integro-differential arising in the modeling of suspension bridge. A hybrid Genetic Algorithm (GA) and Nelder-Mead (NM) optimization technique is employed along with collocation finite element method and Optimal Homotopic Asymptotic Method. The solutions are compared with existing solutions. A excellent comparison is obtain results are shown, graphs and tables are shown.

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