Articles liés à Data-Driven Evolutionary Modeling in Materials Technology
Synopsis
This book presents the genetic and evolutionary, algorithms and strategies associated with pertinent issues in materials science domain. It discusses the procedures for evolutionary multi-objective optimization of objective functions including available professional and public domain codes and a gamut of recent applications.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Professor Nirupam Chakraborti was educated in India and USA, receiving his B.Met.E from Jadavpur University, India, followed by an MS from New Mexico Tech, USA and PhD, PhD degrees from University of Washington, Seattle, USA. He joined Indian Institute of Technology, Kanpur as a member of the faculty in 1984 and switched to Indian Institute of Technology, Kharagpur in 2000.
Internationally known for his pioneering work on evolutionary computation in the area of Metallurgy and Materials, globally, Professor Chakraborti was rated among the top 2% highly cited researchers in the Materials area in 2000, as per Scopus records. A former Docent of Åbo Akademi, Finland, former Visiting Professors of Florida International University and POSTECH, Korea, he also taught and conducted research at several other academic institutions in Austria, Brazil, Finland, Germany, Italy and the US. An international symposium, under the KomPlasTech 2019, which is world's longest running conference series in the area of computational materials technology, was organized in Poland in 2019 to honor him. In 2020, an issue of a prominent Taylor of Francis journal, Materials and Manufacturing Processes was dedicated to him as well. In 2021 Indian Institute of Technology, Kharagpur and Indian Institute of Metals, a professional body, also organized another international seminar in his honor.
This book is a culmination of Professor Chakarborti's decades of research and teaching efforts in this area.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Acheter neuf
Afficher cet article
EUR 184,46
EUR 9,70 expédition depuis Allemagne vers France
Destinations, frais et délais
Résultats de recherche pour Data-Driven Evolutionary Modeling in Materials Technology
Image fournie par le vendeur
Data-Driven Evolutionary Modeling in Materials Technology
impression à la demandeVendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Professor Nirupam Chakraborti was educated in India and USA, receiving his B.Met.E from Jadavpur University, India, followed by an MS from New Mexico Tech, USA and PhD, PhD degrees from University of Washington, Seattle, USA. He joined I. N° de réf. du vendeur 593717454
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Data-Driven Evolutionary Modeling in Materials Technology
Edité par
CRC Press Sep 2022, 2022
ISBN 10 : 1032061731
ISBN 13 : 9781032061733
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Due to efficacy and optimization potential of genetic and evolutionary algorithms, they are used in learning and modeling especially with the advent of big data related problems. This book presents the algorithms and strategies specifically associated with pertinent issues in materials science domain. It discusses the procedures for evolutionary multi-objective optimization of objective functions created through these procedures and introduces available codes. Recent applications ranging from primary metal production to materials design are covered. It also describes hybrid modeling strategy, and other common modeling and simulation strategies like molecular dynamics, cellular automata etc.Features:Focuses on data-driven evolutionary modeling and optimization, including evolutionary deep learning.Include details on both algorithms and their applications in materials science and technology.Discusses hybrid data-driven modeling that couples evolutionary algorithms with generic computing strategies.Thoroughly discusses applications of pertinent strategies in metallurgy and materials.Provides overview of the major single and multi-objective evolutionary algorithms.This book aims at Researchers, Professionals, and Graduate students in Materials Science, Data-Driven Engineering, Metallurgical Engineering, Computational Materials Science, Structural Materials, and Functional Materials. 320 pp. Englisch. N° de réf. du vendeur 9781032061733
Quantité disponible : 2 disponible(s)
Image d'archives
Data-Driven Evolutionary Modeling in Materials Technology
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 402584751
Quantité disponible : 3 disponible(s)
Image d'archives
Data-Driven Evolutionary Modeling in Materials Technology
Vendeur : Books Puddle, New York, NY, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. 1st edition NO-PA16APR2015-KAP. N° de réf. du vendeur 26394873712
Quantité disponible : 3 disponible(s)
Image fournie par le vendeur
Data-Driven Evolutionary Modeling in Materials Technology
impression à la demandeVendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Due to efficacy and optimization potential of genetic and evolutionary algorithms, they are used in learning and modeling especially with the advent of big data related problems. This book presents the algorithms and strategies specifically associated with pertinent issues in materials science domain. It discusses the procedures for evolutionary multi-objective optimization of objective functions created through these procedures and introduces available codes. Recent applications ranging from primary metal production to materials design are covered. It also describes hybrid modeling strategy, and other common modeling and simulation strategies like molecular dynamics, cellular automata etc.Features:Focuses on data-driven evolutionary modeling and optimization, including evolutionary deep learning.Include details on both algorithms and their applications in materials science and technology.Discusses hybrid data-driven modeling that couples evolutionary algorithms with generic computing strategies.Thoroughly discusses applications of pertinent strategies in metallurgy and materials.Provides overview of the major single and multi-objective evolutionary algorithms.This book aims at Researchers, Professionals, and Graduate students in Materials Science, Data-Driven Engineering, Metallurgical Engineering, Computational Materials Science, Structural Materials, and Functional Materials. N° de réf. du vendeur 9781032061733
Quantité disponible : 1 disponible(s)
Image d'archives
Data-driven Evolutionary Modeling in Materials Technology
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 44468027-n
Quantité disponible : Plus de 20 disponibles
Image d'archives
Data-Driven Evolutionary Modeling in Materials Technology
Vendeur : California Books, Miami, FL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur I-9781032061733
Quantité disponible : Plus de 20 disponibles
Image d'archives
Data-Driven Evolutionary Modeling in Materials Technology
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. In. N° de réf. du vendeur ria9781032061733_new
Quantité disponible : Plus de 20 disponibles
Image d'archives
Data-driven Evolutionary Modeling in Materials Technology
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 44468027-n
Quantité disponible : Plus de 20 disponibles
Image d'archives
Data-Driven Evolutionary Modeling in Materials Technology
impression à la demandeVendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
HRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L1-9781032061733
Quantité disponible : Plus de 20 disponibles