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arXiv · 2005.10642

Nonlinear Regression Analysis Using Multi-Verse Optimizer

Jayri Bagchi·Tapas Si
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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.

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BibTeXRIS

Jayri Bagchi, Tapas Si. 2020-04-28. Nonlinear Regression Analysis Using Multi-Verse Optimizer. https://arxiv.org/abs/2005.10642

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