Forest Optimization Algorithm Implementation using Sphere Mathematical Function
Sathish Kumar Ravichandran1, Archana Sasi2, Shaik Hussain Shaik Ibrahim3

1Sathish Kumar Ravichandran*, Assistant Professor, School of Engineering and Technology, Department of Computer Science and Engineering, Christ University, Bengaluru (Karnataka), India.
2Archana Sasi, Assistant Professor, School of Engineering, Department of Computer Science and Engineering, Presidency University, Bengaluru (Karnataka), India.
3Shaik Hussain Shaik Ibrahim, Assistant Professor, School of Engineering, Department of Computer Science and Engineering, Reva University, Bengaluru (Karnataka), India.

Manuscript received on Aprilo 28, 2021. | Revised Manuscript received on May 03, 2021. | Manuscript published on June 30, 2021. | PP: 104-110 | Volume-10 Issue-5, June 2021. | Retrieval Number:  100.1/ijeat.E25520610521 | DOI: 10.35940/ijeat.E2552.0610521
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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.