LGMLApr 28, 2020

Nonlinear Regression Analysis Using Multi-Verse Optimizer

arXiv:2005.10642v11 citations
Originality Synthesis-oriented
AI Analysis

This is an incremental improvement for regression tasks in fields like business and sports analysis.

The paper tackled nonlinear regression by applying the Multi-Verse Optimizer (MVO) to 10 benchmark problems, and it statistically outperformed the Particle Swarm Optimizer (PSO).

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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