Order Total (1 Item Items):
Shipping Destination:
Data Driven Evolutionary Modeling Materials by Chakraborti Nirupam (33 results)
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (33)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (29)
- As New, Fine or Near Fine (4)
- Very Good or Good (No further results match this refinement)
- Fair or Poor (No further results match this refinement)
- As Described (No further results match this refinement)
Binding
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (5)
- Not Print on Demand (22)
Language (1)
Free Shipping
Seller Location
Seller Rating
-
Data-Driven Evolutionary Modeling in Materials Technology (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 103206174X ISBN 13: 9781032061740
Language: English
Paperback. Condition: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
-
Condition: New.
-
£ 65.60
Convert currency£ 6.50 shipping from United Kingdom to U.S.A.Quantity: 3 available
Add to basketCondition: New.
-
Condition: As New. Unread book in perfect condition.
-
Condition: New. 1st edition NO-PA16APR2015-KAP.
-
Data-Driven Evolutionary Modeling in Materials Technology
Published by Taylor & Francis Ltd, 2024
ISBN 10: 103206174X ISBN 13: 9781032061740
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 63.47
Convert currency£ 15.28 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 453.
-
Data-driven Evolutionary Modeling in Materials Technology
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 63.46
Convert currency£ 15 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
-
Data-Driven Evolutionary Modeling in Materials Technology
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 69.54
Convert currency£ 11.98 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
-
Condition: New.
-
Data-driven Evolutionary Modeling in Materials Technology
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 74.08
Convert currency£ 15 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
-
Data-Driven Evolutionary Modeling in Materials Technology (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 103206174X ISBN 13: 9781032061740
Language: English
£ 68.63
Convert currency£ 27.76 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: new. Paperback. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
-
£ 88.30
Convert currency£ 12.50 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 318 pages. 10.00x7.00x10.00 inches. In Stock.
-
Data-Driven Evolutionary Modeling in Materials Technology (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 103206174X ISBN 13: 9781032061740
Language: English
£ 73.99
Convert currency£ 37 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: new. Paperback. 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
-
Condition: New.
-
Condition: New. 1st edition NO-PA16APR2015-KAP.
-
£ 187.09
Convert currency£ 6.50 shipping from United Kingdom to U.S.A.Quantity: 3 available
Add to basketCondition: New.
-
Condition: New.
-
Data-Driven Evolutionary Modeling in Materials Technology
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 189.77
Convert currency£ 11.98 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
-
Data-driven Evolutionary Modeling in Materials Technology
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 186.90
Convert currency£ 15 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
-
Condition: As New. Unread book in perfect condition.
-
Data-driven Evolutionary Modeling in Materials Technology
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 210.31
Convert currency£ 15 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
-
£ 257.29
Convert currency£ 12.50 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketHardcover. Condition: Brand New. 280 pages. 11.00x8.25x0.91 inches. In Stock.
-
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
-
Data-Driven Evolutionary Modeling in Materials Technology
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
£ 70.44
Convert currency£ 5.02 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
-
Data-Driven Evolutionary Modeling in Materials Technology
Published by Taylor & Francis Ltd, 2024
ISBN 10: 103206174X ISBN 13: 9781032061740
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 79.07
Convert currency£ 15.75 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
-
£ 78.47
Convert currency£ 61.02 shipping from Germany to U.S.A.Quantity: 5 available
Add to basketTaschenbuch. Condition: Neu. Data-Driven Evolutionary Modeling in Materials Technology | Nirupam Chakraborti | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | CRC Press | EAN 9781032061740 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
-
Data-Driven Evolutionary Modeling in Materials Technology
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
£ 183.88
Convert currency£ 20.05 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: 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.
-
£ 200.03
Convert currency£ 8.67 shipping from Germany to U.S.A.Quantity: 4 available
Add to basketCondition: New. PRINT ON DEMAND.
-
£ 165.62
Convert currency£ 42.71 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketGebunden. Condition: 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.
-
HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
