Into a Deeper Understanding of Evolutionary Computing: Exploration, Exploitation, and Parameter Control: Volume 1: 50 - Rilegato
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This book delves into fundamental and advanced strategies for enhancing evolutionary and metaheuristic algorithms, focusing on the crucial balance between exploration and exploitation in search mechanisms.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Dalla quarta di copertina
This book delves into fundamental and advanced strategies for enhancing evolutionary and metaheuristic algorithms, focusing on the vital balance between exploration and exploitation search mechanisms. As technological advancements increase optimization complexity, effectively managing this balance becomes crucial for achieving optimal solutions within reasonable computational resources. The book's distinctive structure organizes content according to optimization stages, offering a comprehensive discussion of various approaches supported by extensive literature.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Into a Deeper Understanding of Evolutionary Computing Exploration Exploitation (eng)
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Into a Deeper Understanding of Evolutionary Computing Exploration Exploitation (eng)
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Into a Deeper Understanding of Evolutionary Computing: Exploration, Exploitation and Parameter Control
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Springer-Nature New York Inc, 2024
ISBN 10: 3031740122
ISBN 13: 9783031740121
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Into a Deeper Understanding of Evolutionary Computing: Exploration, Exploitation, and Parameter Control (Hardcover)
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Springer International Publishing AG, Cham, 2024
ISBN 10: 3031740122
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Hardcover. Condizione: new. Hardcover. This book delves into fundamental and advanced strategies for enhancing evolutionary and metaheuristic algorithms, focusing on the crucial balance between exploration and exploitation in search mechanisms. As technological advancements increase optimization complexity, effectively managing this balance becomes essential for achieving optimal solutions within reasonable computational resources. The book's distinctive structure organizes content according to optimization stages and processes, offering a comprehensive discussion of various approaches supported by extensive literature.The authors note a scarcity of literature addressing the trade-offs between exploration and exploitation with contemporary references, making this work particularly valuable. It aims to deepen the reader's understanding of evolutionary computing, emphasizing exploration, exploitation, and parameter control. It is relevant not only to algorithm developers and the evolutionary computation community but also to students and researchers across scientific disciplines. The book is designed to be accessible to those without extensive algorithm development backgrounds, providing theoretical and practical insights into optimization methods. This book delves into fundamental and advanced strategies for enhancing evolutionary and metaheuristic algorithms, focusing on the crucial balance between exploration and exploitation in search mechanisms. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9783031740121
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Into a Deeper Understanding of Evolutionary Computing: Exploration, Exploitation and Parameter Control
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Into a Deeper Understanding of Evolutionary Computing: Exploration, Exploitation, and Parameter Control
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Springer, Springer Nov 2024, 2024
ISBN 10: 3031740122
ISBN 13: 9783031740121
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book delves into fundamental and advanced strategies for enhancing evolutionary and metaheuristic algorithms, focusing on the crucial balance between exploration and exploitation in search mechanisms. As technological advancements increase optimization complexity, effectively managing this balance becomes essential for achieving optimal solutions within reasonable computational resources. The book's distinctive structure organizes content according to optimization stages and processes, offering a comprehensive discussion of various approaches supported by extensive literature.The authors note a scarcity of literature addressing the trade-offs between exploration and exploitation with contemporary references, making this work particularly valuable. It aims to deepen the reader's understanding of evolutionary computing, emphasizing exploration, exploitation, and parameter control. It is relevant not only to algorithm developers and the evolutionary computation community but also to students and researchers across scientific disciplines. The book is designed to be accessible to those without extensive algorithm development backgrounds, providing theoretical and practical insights into optimization methods. 332 pp. Englisch. Codice articolo 9783031740121
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Into a Deeper Understanding of Evolutionary Computing: Exploration, Exploitation, and Parameter Control
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Springer, Springer Nov 2024, 2024
ISBN 10: 3031740122
ISBN 13: 9783031740121
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book delves into fundamental and advanced strategies for enhancing evolutionary and metaheuristic algorithms, focusing on the crucial balance between exploration and exploitation in search mechanisms. As technological advancements increase optimization complexity, effectively managing this balance becomes essential for achieving optimal solutions within reasonable computational resources. The book's distinctive structure organizes content according to optimization stages and processes, offering a comprehensive discussion of various approaches supported by extensive literature.The authors note a scarcity of literature addressing the trade-offs between exploration and exploitation with contemporary references, making this work particularly valuable. It aims to deepen the reader's understanding of evolutionary computing, emphasizing exploration, exploitation, and parameter control. It is relevant not only to algorithm developers and the evolutionary computation community but also to students and researchers across scientific disciplines. The book is designed to be accessible to those without extensive algorithm development backgrounds, providing theoretical and practical insights into optimization methods.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 332 pp. Englisch. Codice articolo 9783031740121
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Into a Deeper Understanding of Evolutionary Computing: Exploration, Exploitation, and Parameter Control : Volume 1
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book delves into fundamental and advanced strategies for enhancing evolutionary and metaheuristic algorithms, focusing on the crucial balance between exploration and exploitation in search mechanisms. As technological advancements increase optimization complexity, effectively managing this balance becomes essential for achieving optimal solutions within reasonable computational resources. The book's distinctive structure organizes content according to optimization stages and processes, offering a comprehensive discussion of various approaches supported by extensive literature.The authors note a scarcity of literature addressing the trade-offs between exploration and exploitation with contemporary references, making this work particularly valuable. It aims to deepen the reader's understanding of evolutionary computing, emphasizing exploration, exploitation, and parameter control. It is relevant not only to algorithm developers and the evolutionary computation community but also to students and researchers across scientific disciplines. The book is designed to be accessible to those without extensive algorithm development backgrounds, providing theoretical and practical insights into optimization methods. Codice articolo 9783031740121
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Into a Deeper Understanding of Evolutionary Computing: Exploration, Exploitation, and Parameter Control: Volume 1 (Emergence, Complexity and Computation, 50)
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Into a Deeper Understanding of Evolutionary Computing: Exploration, Exploitation, and Parameter Control: Volume 1 (Emergence, Complexity and Computation, 50)
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