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Forest Optimization Algorithm Implementation using Sphere Mathematical Function

Authors: Sathish Kumar Ravichandran; Archana Sasi; Shaik Hussain Shaik Ibrahim;

Forest Optimization Algorithm Implementation using Sphere Mathematical Function

Abstract

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..

Keywords

Forest Optimization Algorithm, Evolutionary Algorithm, Continuous Nonlinear Optimization, Tree Seeding Technique, UCI repository., 10.35940/ijeat.E2552.0610521, 2249-8958

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