Open AccessForest Optimization Algorithm Implementation using Sphere Mathematical Function
Author(s) -
Sathish Kumar Ravichandran,
Archana Sasi,
Shaik Hussain Shaik Ibrahim
Publication year - 2021
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.e2552.0610521
Subject(s) - tree (set theory) , seeding , mathematical optimization , process (computing) , function (biology) , computer science , algorithm , nonlinear system , optimization algorithm , mathematics , engineering , combinatorics , biology , physics , quantum mechanics , evolutionary biology , aerospace engineering , operating system
Forest Optimization Algorithm (FOA), a recentevolutionary algorithm suitable for continuous nonlinearoptimization problems. It is inspired by a few trees in the forestthat can last for several decades while other trees can only live fora short time. In FOA, the tree seeding technique is simulated sothat certain seeds fall directly under the leaves, while others aredispersed over a large area by natural processes and animals thatfeed on the seeds or fruits. In this paper, we used the spheremathematical function to implement FOA as a step-by-stepprocess, and the iteration-based results are displayed. Thefindings of the experiments demonstrated that FOA performedwell in certain data sets from the UCI repository..