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Machine Learning Assisted Evolutionary Multi and Many Objective Optimization
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization (Hardcover)
Lingua: Inglese
Editore: Springer Verlag, Singapore, Singapore, 2024
ISBN 10: 9819920957 ISBN 13: 9789819920952
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Hardcover. Condizione: new. Hardcover. This book focuses on machine learning (ML) assisted evolutionary multi- and many-objective optimization (EMaO). EMaO algorithms, namely EMaOAs, iteratively evolve a set of solutions towards a good Pareto Front approximation. The availability of multiple solution sets over successive generations makes EMaOAs amenable to application of ML for different pursuits. Recognizing the immense potential for ML-based enhancements in the EMaO domain, this book intends to serve as an exclusive resource for both domain novices and the experienced researchers and practitioners. To achieve this goal, the book first covers the foundations of optimization, including problem and algorithm types. Then, well-structured chapters present some of the key studies on ML-based enhancements in the EMaO domain, systematically addressing important aspects. These include learning to understand the problem structure, converge better, diversify better, simultaneously converge and diversify better, and analyze the Pareto Front. In doing so, this book broadly summarizes the literature, beginning with foundational work on innovization (2003) and objective reduction (2006), and extending to the most recently proposed innovized progress operators (2021-23). It also highlights the utility of ML interventions in the search, post-optimality, and decision-making phases pertaining to the use of EMaOAs. Finally, this book shares insightful perspectives on the future potential for ML based enhancements in the EMaOA domain.To aid readers, the book includes working codes for the developed algorithms. This book will not only strengthen this emergent theme but also encourage ML researchers to develop more efficient and scalable methods that cater to the requirements of the EMaOA domain. It serves as an inspiration for further research and applications at the synergistic intersection of EMaOA and ML domains. This book focuses on machine learning (ML) assisted evolutionary multi- and many-objective optimization (EMaO). Finally, this book shares insightful perspectives on the future potential for ML based enhancements in the EMaOA domain.To aid readers, the book includes working codes for the developed algorithms. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Advances in Multidisciplinary Analysis and Optimization: Proceedings of the 2nd National Conference on Multidisciplinary Analysis and Optimization (Lecture Notes in Mechanical Engineering)
Libro 144 di 268: Lecture Notes in Mechanical EngineeringDa: Ria Christie Collections, Uxbridge, Regno Unito
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Advances in Multidisciplinary Analysis and Optimization: Proceedings of the 2nd National Conference on Multidisciplinary Analysis and Optimization (Lecture Notes in Mechanical Engineering)
Libro 144 di 268: Lecture Notes in Mechanical EngineeringDa: Ria Christie Collections, Uxbridge, Regno Unito
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Advances in Multidisciplinary Analysis and Optimization : Proceedings of the 2nd National Conference on Multidisciplinary Analysis and Optimization
Libro 144 di 268: Lecture Notes in Mechanical EngineeringDa: GreatBookPrices, Columbia, MD, U.S.A.
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Advances in Multidisciplinary Analysis and Optimization : Proceedings of the 2nd National Conference on Multidisciplinary Analysis and Optimization
Libro 144 di 268: Lecture Notes in Mechanical EngineeringDa: GreatBookPrices, Columbia, MD, U.S.A.
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Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization (Genetic and Evolutionary Computation)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Machine Learning Assisted Evolutionary Multi and Many Objective Optimization
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Machine Learning Assisted Evolutionary Multi and Many Objective Optimization
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Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization
Lingua: Inglese
Editore: Springer, Berlin|Springer Nature Singapore|Springer, 2023
ISBN 10: 9819920957 ISBN 13: 9789819920952
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Advances in Multidisciplinary Analysis and Optimization: Proceedings of the 2nd National Conference on Multidisciplinary Analysis and Optimization (Lecture Notes in Mechanical Engineering)
Libro 144 di 268: Lecture Notes in Mechanical EngineeringDa: Books Puddle, New York, NY, U.S.A.
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Machine Learning Assisted Evolutionary Multi and Many Objective Optimization
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization | Dhish Kumar Saxena (u. a.) | Taschenbuch | Genetic and Evolutionary Computation | xv | Englisch | 2025 | Springer | EAN 9789819920983 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization (Genetic and Evolutionary Computation)
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. 2024th edition NO-PA16APR2015-KAP.
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Advances in Multidisciplinary Analysis and Optimization
Libro 144 di 268: Lecture Notes in Mechanical EngineeringEUR 180,10
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Aggiungi al carrelloCondizione: New. Discusses applications of multidisciplinary optimization in aerospace, automotive, manufacturing and biomedical industriesFocuses on design and analysis as applicable to optimization of systemsDiscusses both established techniques and emerg.
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Advances in Multidisciplinary Analysis and Optimization : Proceedings of the 2nd National Conference on Multidisciplinary Analysis and Optimization
Libro 144 di 268: Lecture Notes in Mechanical EngineeringEUR 166,62
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume contains select papers presented during the 2nd National Conference on Multidisciplinary Analysis and Optimization. It discusses new developments at the core of optimization methods and its application in multiple applications. The papers showcase fundamental problems and applications which include domains such as aerospace, automotive and industrial sectors. The variety of topics and diversity of insights presented in the general field of optimization and its use in design for different applications will be of interest to researchers in academia or industry.
-
Advances in Multidisciplinary Analysis and Optimization: Proceedings of the 2nd National Conference on Multidisciplinary Analysis and Optimization (Lecture Notes in Mechanical Engineering)
Libro 144 di 268: Lecture Notes in Mechanical EngineeringDa: Books Puddle, New York, NY, U.S.A.
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Condizione: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
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EUR 178,02
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering.
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EUR 179,61
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on machine learning (ML) assisted evolutionary multi- and many-objective optimization (EMâO). EMâO algorithms, namely EMâOAs, iteratively evolve a set of solutions towards a good Pareto Front approximation. The availability of multiple solution sets over successive generations makes EMâOAs amenable to application of ML for different pursuits.Recognizing the immense potential for ML-based enhancements in the EMâO domain, this book intends to serve as an exclusive resource for both domain novices and the experienced researchers and practitioners.To achieve this goal, the book first covers the foundations of optimization, including problem and algorithm types.Then, well-structured chapters present some of the key studies on ML-based enhancements in the EMâO domain, systematically addressing important aspects. These include learning to understand the problem structure, converge better, diversify better, simultaneously converge and diversify better, and analyze the Pareto Front. In doing so, this book broadly summarizes the literature, beginning with foundational work on innovization (2003) and objective reduction (2006), and extending to the most recently proposed innovized progress operators (2021-23). It also highlights the utility of ML interventions in the search, post-optimality, and decision-making phases pertaining to the use of EMâOAs. Finally, this book shares insightful perspectives on the future potential for ML based enhancements in the EMâOA domain.To aid readers, the book includes working codes for the developed algorithms. This book will not only strengthen this emergent theme but also encourage ML researchers to develop more efficient and scalable methods that cater to the requirements of the EMâOA domain. It serves as an inspiration for further research and applications at the synergistic intersection of EMâOA and ML domains.
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Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization
Da: Books Puddle, New York, NY, U.S.A.
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Advances in Multidisciplinary Analysis and Optimization: Proceedings of the 2nd National Conference on Multidisciplinary Analysis and Optimization
Libro 144 di 268: Lecture Notes in Mechanical EngineeringDa: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloHardcover. Condizione: Brand New. 338 pages. 9.25x6.10x0.91 inches. In Stock.
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Machine Learning Assisted Evolutionary Multi and Many Objective Optimization
Lingua: Inglese
Editore: Springer-Nature New York Inc, 2024
ISBN 10: 9819920957 ISBN 13: 9789819920952
Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloHardcover. Condizione: Brand New. 259 pages. 9.25x6.10x9.21 inches. In Stock.
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Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization
Da: Majestic Books, Hounslow, Regno Unito
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EUR 261,45
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Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization (Hardcover)
Lingua: Inglese
Editore: Springer Verlag, Singapore, Singapore, 2024
ISBN 10: 9819920957 ISBN 13: 9789819920952
Da: AussieBookSeller, Truganina, VIC, Australia
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This book focuses on machine learning (ML) assisted evolutionary multi- and many-objective optimization (EMaO). EMaO algorithms, namely EMaOAs, iteratively evolve a set of solutions towards a good Pareto Front approximation. The availability of multiple solution sets over successive generations makes EMaOAs amenable to application of ML for different pursuits. Recognizing the immense potential for ML-based enhancements in the EMaO domain, this book intends to serve as an exclusive resource for both domain novices and the experienced researchers and practitioners. To achieve this goal, the book first covers the foundations of optimization, including problem and algorithm types. Then, well-structured chapters present some of the key studies on ML-based enhancements in the EMaO domain, systematically addressing important aspects. These include learning to understand the problem structure, converge better, diversify better, simultaneously converge and diversify better, and analyze the Pareto Front. In doing so, this book broadly summarizes the literature, beginning with foundational work on innovization (2003) and objective reduction (2006), and extending to the most recently proposed innovized progress operators (2021-23). It also highlights the utility of ML interventions in the search, post-optimality, and decision-making phases pertaining to the use of EMaOAs. Finally, this book shares insightful perspectives on the future potential for ML based enhancements in the EMaOA domain.To aid readers, the book includes working codes for the developed algorithms. This book will not only strengthen this emergent theme but also encourage ML researchers to develop more efficient and scalable methods that cater to the requirements of the EMaOA domain. It serves as an inspiration for further research and applications at the synergistic intersection of EMaOA and ML domains. This book focuses on machine learning (ML) assisted evolutionary multi- and many-objective optimization (EMaO). Finally, this book shares insightful perspectives on the future potential for ML based enhancements in the EMaOA domain.To aid readers, the book includes working codes for the developed algorithms. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Advances in Multidisciplinary Analysis and Optimization (eng)
Libro 144 di 268: Lecture Notes in Mechanical EngineeringDa: Brook Bookstore On Demand, Napoli, NA, Italia
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Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization (eng)
Da: Brook Bookstore On Demand, Napoli, NA, Italia
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Advances in Multidisciplinary Analysis and Optimization
Libro 144 di 268: Lecture Notes in Mechanical EngineeringDa: PBShop.store US, Wood Dale, IL, U.S.A.
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EUR 171,72
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Advances in Multidisciplinary Analysis and Optimization
Libro 144 di 268: Lecture Notes in Mechanical EngineeringDa: PBShop.store UK, Fairford, GLOS, Regno Unito
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EUR 167,40
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Advances in Multidisciplinary Analysis and Optimization
Libro 144 di 268: Lecture Notes in Mechanical EngineeringLingua: Inglese
Editore: Springer Nature Singapore Aug 2020, 2020
ISBN 10: 9811554315 ISBN 13: 9789811554315
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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EUR 160,49
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume contains select papers presented during the 2nd National Conference on Multidisciplinary Analysis and Optimization. It discusses new developments at the core of optimization methods and its application in multiple applications. The papers showcase fundamental problems and applications which include domains such as aerospace, automotive and industrial sectors. The variety of topics and diversity of insights presented in the general field of optimization and its use in design for different applications will be of interest to researchers in academia or industry. 340 pp. Englisch.
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Advances in Multidisciplinary Analysis and Optimization: Proceedings of the 2nd National Conference on Multidisciplinary Analysis and Optimization
Libro 144 di 268: Lecture Notes in Mechanical EngineeringEUR 136,16
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discusses applications of multidisciplinary optimization in aerospace, automotive, manufacturing and biomedical industriesFocuses on design and analysis as applicable to optimization of systemsDi.
