Articles liés à General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation...
General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm - Couverture souple
Synopsis
This book focuses on the fields of fuzzy logic and metaheuristic algorithms, particularly the harmony search algorithm and fuzzy control. There are currently several types of metaheuristics used to solve a range of real-world of problems, and these metaheuristics contain parameters that are usually fixed throughout the iterations. However, a number of techniques are also available that dynamically adjust the parameters of an algorithm, such as probabilistic fuzzy logic.
This book proposes a method of addressing the problem of parameter adaptation in the original harmony search algorithm using type-1, interval type-2 and generalized type-2 fuzzy logic. The authors applied this methodology to the resolution of problems of classical benchmark mathematical functions, CEC 2015, CEC2017 functions and to the optimization of various fuzzy logic control cases, and tested the method using six benchmark control problems - four of the Mamdani type: the problem of filling a water tank, theproblem of controlling the temperature of a shower, the problem of controlling the trajectory of an autonomous mobile robot and the problem of controlling the speed of an engine; and two of the Sugeno type: the problem of controlling the balance of a bar and ball, and the problem of controlling control the balance of an inverted pendulum. When the interval type-2 fuzzy logic system is used to model the behavior of the systems, the results show better stabilization because the uncertainty analysis is better. As such, the authors conclude that the proposed method, based on fuzzy systems, fuzzy controllers and the harmony search optimization algorithm, improves the behavior of complex control plants.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Acheter neuf
Afficher cet article
EUR 48,37
EUR 9,70 expédition depuis Allemagne vers France
Destinations, frais et délais
Résultats de recherche pour General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation...
Image d'archives
General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm
Edité par
Springer, 2020
ISBN 10 : 3030439496
ISBN 13 : 9783030439491
Ancien ou d'occasion
Paperback
Vendeur : ThriftBooks-Atlanta, AUSTELL, GA, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 0.31. N° de réf. du vendeur G3030439496I4N00
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm
Edité par
Springer International Publishing, 2020
ISBN 10 : 3030439496
ISBN 13 : 9783030439491
Neuf
Kartoniert / Broschiert
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Focuses on the fields of fuzzy logic and metaheuristic algorithms, especially the harmony search algorithm and fuzzy control Presents a parameter adaptation solution in the original harmony search algorithm using type-1, interval type-2 and. N° de réf. du vendeur 448682193
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm
Edité par
Springer International Publishing, 2020
ISBN 10 : 3030439496
ISBN 13 : 9783030439491
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on the fields of fuzzy logic and metaheuristic algorithms, particularly the harmony search algorithm and fuzzy control. There are currently several types of metaheuristics used to solve a range of real-world of problems, and these metaheuristics contain parameters that are usually fixed throughout the iterations. However, a number of techniques are also available that dynamically adjust the parameters of an algorithm, such as probabilistic fuzzy logic.This book proposes a method of addressing the problem of parameter adaptation in the original harmony search algorithm using type-1, interval type-2 and generalized type-2 fuzzy logic. The authors applied this methodology to the resolution of problems of classical benchmark mathematical functions, CEC 2015, CEC2017 functions and to the optimization of various fuzzy logic control cases, and tested the method using six benchmark control problems - four of the Mamdani type: the problem of filling a water tank, theproblem of controlling the temperature of a shower, the problem of controlling the trajectory of an autonomous mobile robot and the problem of controlling the speed of an engine; and two of the Sugeno type: the problem of controlling the balance of a bar and ball, and the problem of controlling control the balance of an inverted pendulum. When the interval type-2 fuzzy logic system is used to model the behavior of the systems, the results show better stabilization because the uncertainty analysis is better. As such, the authors conclude that the proposed method, based on fuzzy systems, fuzzy controllers and the harmony search optimization algorithm, improves the behavior of complex control plants. N° de réf. du vendeur 9783030439491
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm
Edité par
Springer International Publishing Mrz 2020, 2020
ISBN 10 : 3030439496
ISBN 13 : 9783030439491
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on the fields of fuzzy logic and metaheuristic algorithms, particularly the harmony search algorithm and fuzzy control. There are currently several types of metaheuristics used to solve a range of real-world of problems, and these metaheuristics contain parameters that are usually fixed throughout the iterations. However, a number of techniques are also available that dynamically adjust the parameters of an algorithm, such as probabilistic fuzzy logic.This book proposes a method of addressing the problem of parameter adaptation in the original harmony search algorithm using type-1, interval type-2 and generalized type-2 fuzzy logic. The authors applied this methodology to the resolution of problems of classical benchmark mathematical functions, CEC 2015, CEC2017 functions and to the optimization of various fuzzy logic control cases, and tested the method using six benchmark control problems - four of the Mamdani type: the problem of filling a water tank, the problem of controlling the temperature of a shower, the problem of controlling the trajectory of an autonomous mobile robot and the problem of controlling the speed of an engine; and two of the Sugeno type: the problem of controlling the balance of a bar and ball, and the problem of controlling control the balance of an inverted pendulum. When the interval type-2 fuzzy logic system is used to model the behavior of the systems, the results show better stabilization because the uncertainty analysis is better. As such, the authors conclude that the proposed method, based on fuzzy systems, fuzzy controllers and the harmony search optimization algorithm, improves the behavior of complex control plants. 92 pp. Englisch. N° de réf. du vendeur 9783030439491
Quantité disponible : 2 disponible(s)
Image d'archives
General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm (SpringerBriefs in Applied Sciences and Technology)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. In. N° de réf. du vendeur ria9783030439491_new
Quantité disponible : Plus de 20 disponibles
Image d'archives
General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm
Vendeur : Chiron Media, Wallingford, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
PF. Etat : New. N° de réf. du vendeur 6666-IUK-9783030439491
Quantité disponible : 10 disponible(s)
Image fournie par le vendeur
General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm
ISBN 10 : 3030439496
ISBN 13 : 9783030439491
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware -This book focuses on the fields of fuzzy logic and metaheuristic algorithms, particularly the harmony search algorithm and fuzzy control. There are currently several types of metaheuristics used to solve a range of real-world of problems, and these metaheuristics contain parameters that are usually fixed throughout the iterations. However, a number of techniques are also available that dynamically adjust the parameters of an algorithm, such as probabilistic fuzzy logic.This book proposes a method of addressing the problem of parameter adaptation in the original harmony search algorithm using type-1, interval type-2 and generalized type-2 fuzzy logic. The authors applied this methodology to the resolution of problems of classical benchmark mathematical functions, CEC 2015, CEC2017 functions and to the optimization of various fuzzy logic control cases, and tested the method using six benchmark control problems ¿ four of the Mamdani type: the problem of filling a water tank, theproblem of controlling the temperature of a shower, the problem of controlling the trajectory of an autonomous mobile robot and the problem of controlling the speed of an engine; and two of the Sugeno type: the problem of controlling the balance of a bar and ball, and the problem of controlling control the balance of an inverted pendulum. When the interval type-2 fuzzy logic system is used to model the behavior of the systems, the results show better stabilization because the uncertainty analysis is better. As such, the authors conclude that the proposed method, based on fuzzy systems, fuzzy controllers and the harmony search optimization algorithm, improves the behavior of complex control plants.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 92 pp. Englisch. N° de réf. du vendeur 9783030439491
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 41197926-n
Quantité disponible : Plus de 20 disponibles
Image d'archives
General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm (SpringerBriefs in Applied Sciences and Technology)
Vendeur : California Books, Miami, FL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur I-9783030439491
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 41197926-n
Quantité disponible : Plus de 20 disponibles