Metaheuristics and Optimization in Computer and Electrical Engineering: Hybrid and Improved Algorithms (2) - Couverture rigide

9783031426841: Metaheuristics and Optimization in Computer and Electrical Engineering: Hybrid and Improved Algorithms (2)

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ISBN 10 : 3031426843 ISBN 13 : 9783031426841

Editeur : Springer International Publishing AG, 2023

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This book discusses different methods of modifying the original metaheuristics and their application in computer and electrical engineering.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer International Publishing AG
Date d'�dition: 2023
Langue: anglais
ISBN 10: 3031426843
ISBN 13: 9783031426841
Reliure: Reli�
Nombre de pages: 499
�diteur: Razmjooy Navid, Ghadimi Noradin, Rajinikanth Venkatesan
Coordonn�es du fabricant: Springer Nature Customer Service Center GmbH
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9783031426872: Metaheuristics and Optimization in Computer and Electrical Engineering: Volume 2: Hybrid and Improved Algorithms

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Metaheuristics and Optimization in Computer and Electrical Engineering: Volume 2: Hybrid and Improved Algorithms (Lecture Notes in Electrical Engineering, 1077)

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ISBN 10 : 3031426843 ISBN 13 : 9783031426841

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Metaheuristics and Optimization in Computer and Electrical Engineering

Edit� par Springer International Publishing, 2023

ISBN 10 : 3031426843 ISBN 13 : 9783031426841

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a review of selected hybrid and improved meta-heuristic methods and their applicationsExplores the possibility of using different kinds of optimization algorithmsProvides with different case studies in computer and electrical engin. N� de r�f. du vendeur 959198601

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Metaheuristics and Optimization in Computer and Electrical Engineering

Navid Razmjooy

Edit� par Springer International Publishing Okt 2023, 2023

ISBN 10 : 3031426843 ISBN 13 : 9783031426841

Neuf Couverture rigide

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses different methods of modifying the original metaheuristics and their application in computer and electrical engineering. As the race to develop advanced technology accelerates, a new era of 'metaheuristics' has emerged. Through researched-based techniques and collaborative problem-solving, this book helps engineers to find efficient solutions to their engineering challenges. With the help of an expert guide and the collective knowledge of the engineering community, this comprehensive guide shows readers how to use machine learning and other AI techniques to reinvent smart engineering. From understanding the fundamentals to mastering the latest metaheuristics models, this guide provides with the skills and knowledge that need to stay ahead in the technology race. In the previous volume, authors focused on the application of original metaheuristics on electrical and computer sciences. This volume learns how AI and modified metaheuristics can be used to optimize algorithms and create more efficient electrical engineering designs. It gets insights on how data can be effectively processed and discover new techniques for creating sophisticated automation systems. It maximizes the potential of readers' computer and electrical engineering projects with powerful metaheuristics and optimization techniques. 500 pp. Englisch. N� de r�f. du vendeur 9783031426841

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Metaheuristics and Optimization in Computer and Electrical Engineering | Volume 2: Hybrid and Improved Algorithms

Navid Razmjooy (u. a.)

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ISBN 10 : 3031426843 ISBN 13 : 9783031426841

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Metaheuristics and Optimization in Computer and Electrical Engineering

Navid Razmjooy

Edit� par Springer International Publishing, Springer International Publishing Okt 2023, 2023

ISBN 10 : 3031426843 ISBN 13 : 9783031426841

Neuf Couverture rigide

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Buch. Etat : Neu. Neuware -This book discusses different methods of modifying the original metaheuristics and their application in computer and electrical engineering. As the race to develop advanced technology accelerates, a new era of 'metaheuristics' has emerged. Through researched-based techniques and collaborative problem-solving, this book helps engineers to find efficient solutions to their engineering challenges. With the help of an expert guide and the collective knowledge of the engineering community, this comprehensive guide shows readers how to use machine learning and other AI techniques to reinvent smart engineering. From understanding the fundamentals to mastering the latest metaheuristics models, this guide provides with the skills and knowledge that need to stay ahead in the technology race. In the previous volume, authors focused on the application of original metaheuristics on electrical and computer sciences. This volume learns how AI and modified metaheuristics can be used to optimize algorithms and create more efficient electrical engineering designs. It gets insights on how data can be effectively processed and discover new techniques for creating sophisticated automation systems. It maximizes the potential of readers� computer and electrical engineering projects with powerful metaheuristics and optimization techniques.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 500 pp. Englisch. N� de r�f. du vendeur 9783031426841

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Metaheuristics and Optimization in Computer and Electrical Engineering : Volume 2: Hybrid and Improved Algorithms

Navid Razmjooy

Edit� par Springer International Publishing, 2023

ISBN 10 : 3031426843 ISBN 13 : 9783031426841

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses different methods of modifying the original metaheuristics and their application in computer and electrical engineering. As the race to develop advanced technology accelerates, a new era of 'metaheuristics' has emerged. Through researched-based techniques and collaborative problem-solving, this book helps engineers to find efficient solutions to their engineering challenges. With the help of an expert guide and the collective knowledge of the engineering community, this comprehensive guide shows readers how to use machine learning and other AI techniques to reinvent smart engineering. From understanding the fundamentals to mastering the latest metaheuristics models, this guide provides with the skills and knowledge that need to stay ahead in the technology race. In the previous volume, authors focused on the application of original metaheuristics on electrical and computer sciences. This volume learns how AI and modified metaheuristics can be used to optimize algorithms and create more efficient electrical engineering designs. It gets insights on how data can be effectively processed and discover new techniques for creating sophisticated automation systems. It maximizes the potential of readers' computer and electrical engineering projects with powerful metaheuristics and optimization techniques. N� de r�f. du vendeur 9783031426841

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