Forest Optimization Algorithm Implementation using Sphere Mathematical Function
| Autor: | Sathish Kumar Ravichandran, Shaik Hussain Shaik Ibrahim, Archana Sasi |
|---|---|
| Přispěvatelé: | Blue Eyes Intelligence Engineering and Sciences Publication(BEIESP) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Mathematical optimization
Environmental Engineering Forest Optimization Algorithm Evolutionary Algorithm Continuous Nonlinear Optimization Tree Seeding Technique UCI repository Optimization algorithm Computer science General Engineering Evolutionary algorithm 10.35940/ijeat.E2552.0610521 2249-8958 Computer Science Applications |
| DOI: | 10.5281/zenodo.5518643 |
| Popis: | 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.. |
| Databáze: | OpenAIRE |
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