一种求解微分方程的遗传算法

Proceedings of the IEEE SoutheastCon 2010 (SoutheastCon) Pub Date : 2010-03-18 DOI:10.1109/SECON.2010.5453833

P. MacNeil, S. Schultz

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引用次数: 4

摘要

本文提出了一种利用遗传算法调整候选解中的参数值以使微分方程的和平方误差最小的求解微分方程的方法。给出了一个表示两个质子库仑势中的一个电子的微分方程的解。通过此过程估计两个可测量的参数值，并与公布的值进行比较。

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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A genetic algorithm approach to the solution of a differential equation

This paper proposes an approach to solving differential equations by using a genetic algorithm to adjust parameter values in candidate solutions so as to minimize the sum squared error of the differential equation. An example solution is developed for a differential equation representing an electron in the Coulomb potential of two protons. Two measurable parameter values are estimated via this process and compared with published values.

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Proceedings of the IEEE SoutheastCon 2010 (SoutheastCon)

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