Saxena dhish kumar (41 risultati)
Machine Learning Assisted Evolutionary Multi and Many Objective Optimization
Saxena, Dhish Kumar; Mittal, Sukrit; Deb, Kalyanmoy; Goodman, Erik D.
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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 generat…ions 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.
Lingua: Inglese
Editore: Springer 2020
Serie: Lecture Notes in Mechanical Engineering, Libro 144 di 268. Libro 144 di 268 - Lecture Notes in Mechanical Engineering
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Condizione: New. In.
Lingua: Inglese
Editore: Springer 2021
Serie: Lecture Notes in Mechanical Engineering, Libro 144 di 268. Libro 144 di 268 - Lecture Notes in Mechanical Engineering
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Advances in Multidisciplinary Analysis and Optimization : Proceedings of the 2nd National Conference on Multidisciplinary Analysis and Optimization
Salagame, Raviprakash R. (EDT); Ramu, Palaniappan (EDT); Narayanaswamy, Indira (EDT); Saxena, Dhish Kumar (EDT)
Lingua: Inglese
Editore: Springer 2020
Serie: Lecture Notes in Mechanical Engineering, Libro 144 di 268. Libro 144 di 268 - Lecture Notes in Mechanical Engineering
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Advances in Multidisciplinary Analysis and Optimization : Proceedings of the 2nd National Conference on Multidisciplinary Analysis and Optimization
Salagame, Raviprakash R. (EDT); Ramu, Palaniappan (EDT); Narayanaswamy, Indira (EDT); Saxena, Dhish Kumar (EDT)
Lingua: Inglese
Editore: Springer 2020
Serie: Lecture Notes in Mechanical Engineering, Libro 144 di 268. Libro 144 di 268 - Lecture Notes in Mechanical Engineering
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization (Genetic and Evolutionary Computation)
Saxena, Dhish Kumar; Mittal, Sukrit; Deb, Kalyanmoy; Goodman, Erik D.
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Machine Learning Assisted Evolutionary Multi and Many Objective Optimization
Saxena, Dhish Kumar; Mittal, Sukrit; Deb, Kalyanmoy; Goodman, Erik D.
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Machine Learning Assisted Evolutionary Multi and Many Objective Optimization
Saxena, Dhish Kumar; Mittal, Sukrit; Deb, Kalyanmoy; Goodman, Erik D.
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization
Saxena, Dhish Kumar|Mittal, Sukrit|Deb, Kalyanmoy|Goodman, Erik D.
Lingua: Inglese
Editore: Springer, Berlin|Springer Nature Singapore|Springer 2023
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Da: moluna, Greven, , Germaniamoluna
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Lingua: Inglese
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Serie: Lecture Notes in Mechanical Engineering, Libro 144 di 268. Libro 144 di 268 - Lecture Notes in Mechanical Engineering
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Machine Learning Assisted Evolutionary Multi and Many Objective Optimization
Saxena, Dhish Kumar; Mittal, Sukrit; Deb, Kalyanmoy; Goodman, Erik D.
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Taschenbuch. 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 H…eidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization (Genetic and Evolutionary Computation)
Saxena, Dhish Kumar; Mittal, Sukrit; Deb, Kalyanmoy; Goodman, Erik D.
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. 2024th edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer Nature Singapore 2021
Serie: Lecture Notes in Mechanical Engineering, Libro 144 di 268. Libro 144 di 268 - Lecture Notes in Mechanical Engineering
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Da: moluna, Greven, , Germaniamoluna
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Condizione: 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.
Lingua: Inglese
Editore: Springer, Springer 2020
Serie: Lecture Notes in Mechanical Engineering, Libro 144 di 268. Libro 144 di 268 - Lecture Notes in Mechanical Engineering
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. 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 sho…wcase 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.
Lingua: Inglese
Editore: Springer 2021
Serie: Lecture Notes in Mechanical Engineering, Libro 144 di 268. Libro 144 di 268 - Lecture Notes in Mechanical Engineering
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering.
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Buch. 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.
Lingua: Inglese
Editore: Springer 2020
Serie: Lecture Notes in Mechanical Engineering, Libro 144 di 268. Libro 144 di 268 - Lecture Notes in Mechanical Engineering
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Da: Revaluation Books, Exeter, , Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 338 pages. 9.25x6.10x0.91 inches. In Stock.
Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization
Saxena, Dhish Kumar; Mittal, Sukrit; Deb, Kalyanmoy; Goodman, Erik D.
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Machine Learning Assisted Evolutionary Multi and Many Objective Optimization
Saxena, Dhish Kumar/ Mittal, Sukrit/ Deb, Kalyanmoy/ Goodman, Erik D.
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Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization
Saxena, Dhish Kumar; Mittal, Sukrit; Deb, Kalyanmoy; Goodman, Erik D.
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Da: Majestic Books, Hounslow, , Regno UnitoMajestic Books
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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 generat…ions 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.
Lingua: Inglese
Editore: Springer 2020
Serie: Lecture Notes in Mechanical Engineering, Libro 144 di 268. Libro 144 di 268 - Lecture Notes in Mechanical Engineering
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Serie: Lecture Notes in Mechanical Engineering, Libro 144 di 268. Libro 144 di 268 - Lecture Notes in Mechanical Engineering
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PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Serie: Lecture Notes in Mechanical Engineering, Libro 144 di 268. Libro 144 di 268 - Lecture Notes in Mechanical Engineering
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PAP. 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.
Lingua: Inglese
Editore: Springer Nature Singapore Aug 2020 2020
Serie: Lecture Notes in Mechanical Engineering, Libro 144 di 268. Libro 144 di 268 - Lecture Notes in Mechanical Engineering
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. 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.
Advances in Multidisciplinary Analysis and Optimization: Proceedings of the 2nd National Conference on Multidisciplinary Analysis and Optimization
Salagame, Raviprakash R.|Ramu, Palaniappan|Narayanaswamy, Indira|Saxena, Dhish Kumar
Lingua: Inglese
Editore: Springer Nature Singapore 2020
Serie: Lecture Notes in Mechanical Engineering, Libro 144 di 268. Libro 144 di 268 - Lecture Notes in Mechanical Engineering
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Da: moluna, Greven, , Germaniamoluna
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Gebunden. 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.
