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'Particle Swarm Optimization' 




Optimisation du profil de l'induction magnétique Pour application de la séparation des particules non homogènes en voies sèche et humide. / Mehdi Ouili
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Titre : Optimisation du profil de l'induction magnétique Pour application de la séparation des particules non homogènes en voies sèche et humide. Type de document : texte imprimé Auteurs : Mehdi Ouili, Auteur ; Rabia Mehasni, Directeur de thèse ; Mouloud Feliachi, Directeur de thèse Editeur : جامعة الإخوة منتوري قسنطينة Année de publication : 2019 Importance : 115 f. Format : 30 cm. Note générale : 1 copies imprimées disponibles
Langues : Français (fre) Catégories : Français - Anglais
Electro-techniqueTags : Aimant permanent éléments finis tambour optimisation par essaim de particules séparation magnétique Permanent magnet finite element drum particle swarm optimization magnetic separation مغناطيس دائم العناصر المنتهية أسطوانة عزل مغناطيسي تحسين سرب الجزيئات Index. décimale : 622 Electro-Technique Résumé :
The presented work in this thesis presents a contribution to the process of magnetic separation problems. This study based mainly on study and realization of an eddy current magnetic separator with a horizontal drum dedicated to ferromagnetic, diamagnetic, paramagnetic and conductive particles separation in dry and wet ways. A two-dimensional approach based on the model equations coupling governing the existing phenomena (magnetic, hydraulic and particle dynamics) has been developed and used to treat the magnetic separation problem. In order to achieve a successful separation, optimization of the proposed separator has been accomplished. This optimization requires the key parameters identification on which the separation depends. Such identification requires a resolution and analysis of the separation problem taking into account the existing phenomena evolution. The optimization carried out is based on the minimization of an objective function which is the distance between the end point of the separation and a chosen position in a way to take into account the specifications of the applied magnetic field and the velocities of the belt and liquid. For this, the Particle Swarm Optimization (PSO) method was used. In order to validate the approaches and the developed and implemented calculation codes on one hand, to verify the theoretical analysis carried out and the performances of the designed separator and to define the limits of its use on the other hand, experiments have been carried out in dry way. The device consists mainly of a drum with a succession of identical permanent magnets successively arranged with alternating polarity and driven by a motor controlled by a variable speed drive. Transport of the treated material is ensured by a conveyor belt running independently of the drum. The qualitative comparison of theoretical and experimental results showed a great concordance which validates the different approaches and performed calculations.Diplôme : Doctorat en sciences En ligne : ../theses/electrotec/OUI7556.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=11394 Optimisation du profil de l'induction magnétique Pour application de la séparation des particules non homogènes en voies sèche et humide. [texte imprimé] / Mehdi Ouili, Auteur ; Rabia Mehasni, Directeur de thèse ; Mouloud Feliachi, Directeur de thèse . - جامعة الإخوة منتوري قسنطينة, 2019 . - 115 f. ; 30 cm.
1 copies imprimées disponibles
Langues : Français (fre)
Catégories : Français - Anglais
Electro-techniqueTags : Aimant permanent éléments finis tambour optimisation par essaim de particules séparation magnétique Permanent magnet finite element drum particle swarm optimization magnetic separation مغناطيس دائم العناصر المنتهية أسطوانة عزل مغناطيسي تحسين سرب الجزيئات Index. décimale : 622 Electro-Technique Résumé :
The presented work in this thesis presents a contribution to the process of magnetic separation problems. This study based mainly on study and realization of an eddy current magnetic separator with a horizontal drum dedicated to ferromagnetic, diamagnetic, paramagnetic and conductive particles separation in dry and wet ways. A two-dimensional approach based on the model equations coupling governing the existing phenomena (magnetic, hydraulic and particle dynamics) has been developed and used to treat the magnetic separation problem. In order to achieve a successful separation, optimization of the proposed separator has been accomplished. This optimization requires the key parameters identification on which the separation depends. Such identification requires a resolution and analysis of the separation problem taking into account the existing phenomena evolution. The optimization carried out is based on the minimization of an objective function which is the distance between the end point of the separation and a chosen position in a way to take into account the specifications of the applied magnetic field and the velocities of the belt and liquid. For this, the Particle Swarm Optimization (PSO) method was used. In order to validate the approaches and the developed and implemented calculation codes on one hand, to verify the theoretical analysis carried out and the performances of the designed separator and to define the limits of its use on the other hand, experiments have been carried out in dry way. The device consists mainly of a drum with a succession of identical permanent magnets successively arranged with alternating polarity and driven by a motor controlled by a variable speed drive. Transport of the treated material is ensured by a conveyor belt running independently of the drum. The qualitative comparison of theoretical and experimental results showed a great concordance which validates the different approaches and performed calculations.Diplôme : Doctorat en sciences En ligne : ../theses/electrotec/OUI7556.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=11394 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité OUI/7556 OUI/7556 Thèse Bibliothèque principale Thèses Disponible
Titre : Conception des Systèmes d’Inférence Floue par des Approches Hybr ides : Application pour la Commande et la Modélisation des Systèmes Nonlinéaires Type de document : texte imprimé Auteurs : Nesrine Talbi, Auteur ; Khaled Belarbi, Directeur de thèse Editeur : constantine [Algérie] : Université Constantine 1 Année de publication : 2014 Importance : 134 f. Format : 30 cm. Note générale : 2 copies imprimées disponibles Langues : Français (fre) Catégories : Français - Anglais
ElectroniqueTags : Fuzzy rule base Tabu Search Genetic Algorithms Particle Swarm Optimization fuzzy controller monovariable system multivariable system fuzzy modeling Base de règles floues recherche Tabou Algorithmes Génétiques Optimisation par Essaim Particulaire contrôleur flou système monovariable système
multivariable modélisation floue قاعدة من القواعد الغامضة البحث تابو الخوارزميات الجينية سرب الجسيمات الأمثل وحدة التحكم الغامض نظام أحادي المتغير نظام متعدد المتغيرات و النمذجة الغامضةIndex. décimale : 621 Electronique Résumé : The work presented in this thesis revolves mainly around the main areas of modeling and fuzzy control of Takagi-Sugeno zero order for dynamic, complex and highly nonlinear systems.
First, a control law has been proposed using several hybrid algorithms based on the
combination of global search algorithms, Genetic Algorithms (GA) and Particle Swarm
Optimization (PSO) and the local search algorithm the Tabu Search (TS). The hybridization consists to combine the characteristics of these methods (GA -TS and PSO-TS) in order to reap the benefits of success for a good solution in a reduced calculation time, all ensuring the stability, accuracy and robustness controlled systems. For each control structure, examples of simulation applications were presented to justify the validity of the proposed approaches.
These results were compared with other techniques cited in references.
In the second phase, the identification of fuzzy models of Takagi-Sugeno zero-order
approximation for the nonlinear systems was performed using the two hybrid algorithms (GA -TS) and (PSO-TS). The modeling results were compared with those existed in the literature through a performance criterion.Diplôme : Doctorat en sciences En ligne : ../theses/electronique/TAL6467.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=9499 Conception des Systèmes d’Inférence Floue par des Approches Hybr ides : Application pour la Commande et la Modélisation des Systèmes Nonlinéaires [texte imprimé] / Nesrine Talbi, Auteur ; Khaled Belarbi, Directeur de thèse . - constantine [Algérie] : Université Constantine 1, 2014 . - 134 f. ; 30 cm.
2 copies imprimées disponibles
Langues : Français (fre)
Catégories : Français - Anglais
ElectroniqueTags : Fuzzy rule base Tabu Search Genetic Algorithms Particle Swarm Optimization fuzzy controller monovariable system multivariable system fuzzy modeling Base de règles floues recherche Tabou Algorithmes Génétiques Optimisation par Essaim Particulaire contrôleur flou système monovariable système
multivariable modélisation floue قاعدة من القواعد الغامضة البحث تابو الخوارزميات الجينية سرب الجسيمات الأمثل وحدة التحكم الغامض نظام أحادي المتغير نظام متعدد المتغيرات و النمذجة الغامضةIndex. décimale : 621 Electronique Résumé : The work presented in this thesis revolves mainly around the main areas of modeling and fuzzy control of Takagi-Sugeno zero order for dynamic, complex and highly nonlinear systems.
First, a control law has been proposed using several hybrid algorithms based on the
combination of global search algorithms, Genetic Algorithms (GA) and Particle Swarm
Optimization (PSO) and the local search algorithm the Tabu Search (TS). The hybridization consists to combine the characteristics of these methods (GA -TS and PSO-TS) in order to reap the benefits of success for a good solution in a reduced calculation time, all ensuring the stability, accuracy and robustness controlled systems. For each control structure, examples of simulation applications were presented to justify the validity of the proposed approaches.
These results were compared with other techniques cited in references.
In the second phase, the identification of fuzzy models of Takagi-Sugeno zero-order
approximation for the nonlinear systems was performed using the two hybrid algorithms (GA -TS) and (PSO-TS). The modeling results were compared with those existed in the literature through a performance criterion.Diplôme : Doctorat en sciences En ligne : ../theses/electronique/TAL6467.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=9499 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité TAL/6467 TAL/6467 Thèse Bibliothèque principale Thèses Disponible Documents numériques
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Titre : Évaluation de la qualité perceptuelle des signaux multimédias : Évaluation multi-critère basée sur la fusion des métriques. Type de document : texte imprimé Auteurs : Borhen Eddine Dakkar, Auteur ; Fella Hachouf, Directeur de thèse Editeur : جامعة الإخوة منتوري قسنطينة Année de publication : 2017 Importance : 109 f. Format : 30 cm. Note générale : 2 copies imprimées disponibles. Langues : Français (fre) Catégories : Français - Anglais
ElectroniqueTags : Qualité d’image sans référence fusion de mesures évaluation de la qualité perceptuelle machine à vecteur de support optimisation des essaimes de particules vision binoculaire No reference image quality metric fusion perceptual quality evaluation support vector regression particle swarm optimization binocular vision القياس الكمي لنوعية الصورة دمج المقاييس الجودة الادراكية للصورة نظريات التراجع خوارزمية التحيين من تنقل سرب الطيور نظرية محكاة العين البشرية Index. décimale : 621 Electronique Résumé : Quantifying image quality without reference is still a challenging problem, especially when different distortions affect the observed image. One no-reference metric is not able to assess the different distortions presented in the images. In this work, we have focused on the assessment based on a fusion scheme of multiple distortion measures. These metrics are built in two stages. First, a set of relevant image quality assessment metrics is used to evaluate the perceptual quality. Then, a support vector regression (SVR)-based fusion strategy is adopted to derive the overall index of image quality.
For the 2D metric, we have used the particle swarm optimization to select the appropriate metrics. While for the 3D metric, we have incorporated the binocular vision in the assessment process. To evaluate the performance of the proposed metrics, different image databases have been used. The obtained results demonstrate clearly that the proposed approaches outperform the stateof-the-art NR-IQA methods. Furthermore, the proposed approaches are flexible and could be extended to other distortions.
Diplôme : Doctorat En ligne : ../theses/electronique/DAR7198.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=10765 Évaluation de la qualité perceptuelle des signaux multimédias : Évaluation multi-critère basée sur la fusion des métriques. [texte imprimé] / Borhen Eddine Dakkar, Auteur ; Fella Hachouf, Directeur de thèse . - جامعة الإخوة منتوري قسنطينة, 2017 . - 109 f. ; 30 cm.
2 copies imprimées disponibles.
Langues : Français (fre)
Catégories : Français - Anglais
ElectroniqueTags : Qualité d’image sans référence fusion de mesures évaluation de la qualité perceptuelle machine à vecteur de support optimisation des essaimes de particules vision binoculaire No reference image quality metric fusion perceptual quality evaluation support vector regression particle swarm optimization binocular vision القياس الكمي لنوعية الصورة دمج المقاييس الجودة الادراكية للصورة نظريات التراجع خوارزمية التحيين من تنقل سرب الطيور نظرية محكاة العين البشرية Index. décimale : 621 Electronique Résumé : Quantifying image quality without reference is still a challenging problem, especially when different distortions affect the observed image. One no-reference metric is not able to assess the different distortions presented in the images. In this work, we have focused on the assessment based on a fusion scheme of multiple distortion measures. These metrics are built in two stages. First, a set of relevant image quality assessment metrics is used to evaluate the perceptual quality. Then, a support vector regression (SVR)-based fusion strategy is adopted to derive the overall index of image quality.
For the 2D metric, we have used the particle swarm optimization to select the appropriate metrics. While for the 3D metric, we have incorporated the binocular vision in the assessment process. To evaluate the performance of the proposed metrics, different image databases have been used. The obtained results demonstrate clearly that the proposed approaches outperform the stateof-the-art NR-IQA methods. Furthermore, the proposed approaches are flexible and could be extended to other distortions.
Diplôme : Doctorat En ligne : ../theses/electronique/DAR7198.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=10765 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité DAR/7198 DAR/7198 Thèse Bibliothèque principale Thèses Disponible