利用球面数学函数实现森林优化算法

Sathish Kumar Ravichandran, A. Sasi, Shaik Hussain Shaik Ibrahim
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引用次数: 0

摘要

森林优化算法(Forest Optimization Algorithm, FOA)是一种适用于连续非线性优化问题的新进化算法。它的灵感来自森林里的一些树,这些树可以存活几十年,而其他树只能存活很短的时间。在FOA中,模拟树木播种技术,使某些种子直接落在树叶下,而其他种子则通过自然过程和以种子或果实为食的动物大面积传播。在本文中,我们使用球面数学函数逐步实现FOA,并显示基于迭代的结果。实验结果表明,FOA在来自UCI存储库的某些数据集上表现良好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forest Optimization Algorithm Implementation using Sphere Mathematical Function
Forest Optimization Algorithm (FOA), a recent evolutionary algorithm suitable for continuous nonlinear optimization problems. It is inspired by a few trees in the forest that can last for several decades while other trees can only live for a short time. In FOA, the tree seeding technique is simulated so that certain seeds fall directly under the leaves, while others are dispersed over a large area by natural processes and animals that feed on the seeds or fruits. In this paper, we used the sphere mathematical function to implement FOA as a step-by-step process, and the iteration-based results are displayed. The findings of the experiments demonstrated that FOA performed well in certain data sets from the UCI repository..
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