[ Utilisation de l´algorithme génétique dans l’ajustement optimal des quadriques ]
Volume 37, Issue 1, August 2022, Pages 216–224
Meni Babakidi Narcisse1, Kinyoka Kabalumuna God’El2, Lubaseko Bansimba Philippe3, and Maludi Disuekamene Fiston4
1 Institut Supérieur de Techniques Appliquées de Kinshasa, Section Electronique, Kinshasa, RD Congo
2 Université Pédagogique Nationale, Faculté des Sciences, Département de Physique et Sciences Appliquées, Kinshasa, RD Congo
3 Institut Supérieur de Techniques Appliquées de Kinshasa, Section Electronique, Kinshasa, RD Congo
4 Institut Supérieur de Techniques Appliquées de Kinshasa, Section Electronique, Kinshasa, RD Congo
Original language: French
Copyright © 2022 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
In this article the analysis of implementation of the technique of genetic algorithms for the adjustment of the optimum of the quadrics is carried out. A set of sample points of the quadric, which may possibly contain noise and therefore may represent in the fitting, a different geometric figure from the one from which they come, are defined and will be used to fit the quadric which best represents these points. The purpose of this work is the application of GA (Genetic Algorithms) for an optimization problem, in which this technique has been very appropriate in solving the different problems. We seek to obtain a greater knowledge of GA, as well as a better understanding of what an implementation of this technique entails in any problem.
Author Keywords: Genetic Algorithm (GA), optimization, adjustment, quadric, Gaussian noise.
Volume 37, Issue 1, August 2022, Pages 216–224
Meni Babakidi Narcisse1, Kinyoka Kabalumuna God’El2, Lubaseko Bansimba Philippe3, and Maludi Disuekamene Fiston4
1 Institut Supérieur de Techniques Appliquées de Kinshasa, Section Electronique, Kinshasa, RD Congo
2 Université Pédagogique Nationale, Faculté des Sciences, Département de Physique et Sciences Appliquées, Kinshasa, RD Congo
3 Institut Supérieur de Techniques Appliquées de Kinshasa, Section Electronique, Kinshasa, RD Congo
4 Institut Supérieur de Techniques Appliquées de Kinshasa, Section Electronique, Kinshasa, RD Congo
Original language: French
Copyright © 2022 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
In this article the analysis of implementation of the technique of genetic algorithms for the adjustment of the optimum of the quadrics is carried out. A set of sample points of the quadric, which may possibly contain noise and therefore may represent in the fitting, a different geometric figure from the one from which they come, are defined and will be used to fit the quadric which best represents these points. The purpose of this work is the application of GA (Genetic Algorithms) for an optimization problem, in which this technique has been very appropriate in solving the different problems. We seek to obtain a greater knowledge of GA, as well as a better understanding of what an implementation of this technique entails in any problem.
Author Keywords: Genetic Algorithm (GA), optimization, adjustment, quadric, Gaussian noise.
Abstract: (french)
Dans cet article, l'analyse de la mise en œuvre de la technique des algorithmes génétiques pour l'ajustement de l'optimum des quadriques est effectuée. Un ensemble de points d'échantillonnage de la quadrique, qui peuvent éventuellement contenir du bruit et donc représenter dans l'ajustement, une figure géométrique différente de celle dont ils sont issus, sont définis et serviront à ajuster la quadrique qui représente le mieux ces points. Le but de ce travail est l'application des AG (Algorithmes Génétiques) pour un problème d'optimisation, dans lequel cette technique s'est avérée très appropriée pour résoudre les différents problèmes. Nous cherchons à obtenir une plus grande connaissance de GA, ainsi qu'une meilleure compréhension de ce qu'implique une mise en œuvre de cette technique dans tout problème.
Author Keywords: Algorithme Génétique (AG), optimisation, ajustement, quadrique, bruit gaussien.
How to Cite this Article
Meni Babakidi Narcisse, Kinyoka Kabalumuna God’El, Lubaseko Bansimba Philippe, and Maludi Disuekamene Fiston, “Use of genetic algorithm in optimal fit of quadrics,” International Journal of Innovation and Applied Studies, vol. 37, no. 1, pp. 216–224, August 2022.
