2021
DOI: 10.1109/access.2021.3094471
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A Hybrid Approach for Solving Systems of Nonlinear Equations Using Harris Hawks Optimization and Newton’s Method

Abstract: Systems of nonlinear equations are known as the basis for many models of engineering and data science, and their accurate solutions are very critical in achieving progress in these fields. However, solving a system with multiple nonlinear equations, usually, is not an easy task. Consequently, finding a robust and accurate solution can be a very challenging problem in complex systems. In this work, a novel hybrid method namely Newton-Harris hawks optimization (NHHO) for solving systems of nonlinear equations is… Show more

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Cited by 22 publications
(13 citation statements)
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“…International Transactions on Electrical Energy Systems [13]. e goal of the VMD algorithm is to decompose the signal into K AM/FM signals with central frequency {ω K}, which is essentially a narrowband filter bank with the center frequency of {ω K}.…”
Section: Research On Improved Vmd Algorithmmentioning
confidence: 99%
“…International Transactions on Electrical Energy Systems [13]. e goal of the VMD algorithm is to decompose the signal into K AM/FM signals with central frequency {ω K}, which is essentially a narrowband filter bank with the center frequency of {ω K}.…”
Section: Research On Improved Vmd Algorithmmentioning
confidence: 99%
“…Sihwail et al [190] developed a hybrid algorithm called the Netwon-Harris Hawks Optimization (NHHO) in which Netwon's technique second-order is used to correct digits in order to solve nonlinear equation systems.…”
Section: Hybrid Hhomentioning
confidence: 99%
“…In addition, the modified techniques developed in [8,13] require two evaluations each of F , F ′ , and F ′−1 , the techniques in [3,10] require two evaluations each of F , F ′ , and three F ′−1 , the techniques in [4,15] involve evaluations of two F , four F ′ , and three F ′−1 , the technique in [14] requires evaluations of three F , and two each of F ′ and F ′−1 , whereas the technique in [16] requires evaluations of three F , two F ′ , and one F ′−1 . Apart from these, some hybrid algorithms have also been developed that merge the iterative techniques together with the optimization algorithms to generate new algorithms with the improved convergence rate (see, for example [9], and references therein).…”
Section: Introductionmentioning
confidence: 99%