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      Nonlinear Regression Analysis Using Multi-Verse Optimizer

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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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          Author and article information

          Journal
          28 April 2020
          Article
          2005.10642

          http://creativecommons.org/licenses/by-nc-sa/4.0/

          Custom metadata
          cs.LG stat.ML

          Machine learning, Artificial intelligence

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