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- Title
A Preliminary Performance Study on Nonlinear Regression Models using the Jaya Optimisation Algorithm.
- Authors
Michailidis, Panagiotis D.
- Abstract
Parameter estimation in nonlinear regression models (NRMs) represents a major challenge for various scientific computing applications. In this study, we briefly consider a recent population-based metaheuristic algorithm named Jaya, which is used in estimating the parameters of NRMs. The algorithm is experimentally tested on a set of benchmark regression problems of various levels of difficulty. We show that the algorithm can be used as an alternative means of parameter estimation in NRMs. It is efficient in computational time and achieves a high success rate and accuracy.
- Subjects
PARAMETER estimation; NONLINEAR regression; METAHEURISTIC algorithms; COMBINATORIAL optimization; ALGORITHMS
- Publication
IAENG International Journal of Applied Mathematics, 2018, Vol 48, Issue 4, p57
- ISSN
1992-9978
- Publication type
Article