Nonlinear Regression Analysis Using Multi-Verse Optimizer
Machine Learning
2020-05-22 v1 Machine Learning
Abstract
Regression analysis is an important machine learning task used for predictive analytic in business, sports analysis, etc. In regression analysis, optimization algorithms play a significant role in search the coefficients in the regression model. In this paper, nonlinear regression analysis using a recently developed meta-heuristic Multi-Verse Optimizer (MVO) is proposed. The proposed method is applied to 10 well-known benchmark nonlinear regression problems. A comparative study has been conducted with Particle Swarm Optimizer (PSO). The experimental results demonstrate that the proposed method statistically outperforms PSO algorithm.
Cite
@article{arxiv.2005.10642,
title = {Nonlinear Regression Analysis Using Multi-Verse Optimizer},
author = {Jayri Bagchi and Tapas Si},
journal= {arXiv preprint arXiv:2005.10642},
year = {2020}
}