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A Hybrid Computational Intelligence Method of Newton's Method and Genetic Algorithm for Solving Compatible Nonlinear Equations

Yunfeng Wang

Yunfeng Wang

Gansu University of Political Science and LawGansu, China
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Wang, Yunfeng
, 
Haocheng Wang

Haocheng Wang

Gansu University of Political Science and LawGansu, China
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Wang, Haocheng
, 
Pengrui Chen

Pengrui Chen

Gansu University of Political Science and LawGansu, China
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Chen, Pengrui
, 
Xue Zhang

Xue Zhang

Gansu University of Political Science and LawGansu, China
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Zhang, Xue
, 
Guanning Ma

Guanning Ma

Gansu University of Political Science and LawGansu, China
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Ma, Guanning
, 
Bintao Yuan

Bintao Yuan

Gansu University of Political Science and LawGansu, China
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Yuan, Bintao
 et 
Ayman Al dmour

Ayman Al dmour

College of Arts & Science, Applied Science UniversityBahrain
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Al dmour, Ayman
  
15 juil. 2022
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Publié en ligne: 15 juil. 2022
Pages: 1731 - 1742
Reçu: 18 avr. 2022
Accepté: 12 juin 2022
DOI: https://doi.org/10.2478/amns.2022.2.0161
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© 2023 Yunfeng Wang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1

The relationship between the probability of the solution and pn when calculating example 2 with the hybrid computing intelligent algorithm
The relationship between the probability of the solution and pn when calculating example 2 with the hybrid computing intelligent algorithm

Figure 2

The relationship between the probability of the solution and pn when calculating example 3 using the hybrid computing intelligent algorithm
The relationship between the probability of the solution and pn when calculating example 3 using the hybrid computing intelligent algorithm
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Sciences de la vie, Sciences de la vie, autres, Mathématiques, Mathématiques appliquées, Mathématiques générales, Physique, Physique, autres
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