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Sprache: Englisch
Verlag: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032192704 ISBN 13: 9781032192703
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Paperback. Zustand: new. Paperback. The text comprehensively focuses on the concepts, implementation, and application of evolutionary algorithms for predicting, modeling, and optimizing the various material removal processes from their origin to the current advancements. This one-of-a-kind book encapsulates all the features related to the application and implementation of evolutionary algorithms for the purpose of predicting and optimizing the process characteristics of different machining methods and their allied processes that will provide comprehensive information. It broadly explains the concepts of employing evolutionary algorithm-based optimization in a broad domain of various material removal processes. Therefore, this book will enable prospective readers to take full advantage of recent findings and advancements in the fields of traditional, advanced, micro, and hybrid machining, among others. Moreover, the simplicity of its writing will keep readers engaged throughout and make it easier for them to understand the advanced topics.The book-Offers a step-by-step guide to implement evolutionary algorithms for the overall optimization of conventional and contemporary machining processesProvides in-depth analysis of various material removal processes through evolutionary optimizationDetails an overview of different evolutionary optimization techniquesExplores advanced processing of various engineering materials-based case studiesIt further discusses different nature-inspired algorithms-based modeling, prediction, and modeling of machining responses in attempting advanced machining of the latest materials and related engineering problems along with case studies and practical examples. It will be an ideal reference text for graduate students and academic researchers working in the fields of mechanical engineering, aerospace engineering, industrial engineering, manufacturing engineering, and materials science. This text covers the latest machining processes using evolutionary optimization and comparative analysis with conventional optimization techniques. It will an ideal reference text for graduate students and academic researchers working in diverse engineering fields including mechanical, aerospace, industrial, manufacturing. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Sprache: Englisch
Verlag: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032192704 ISBN 13: 9781032192703
Anbieter: CitiRetail, Stevenage, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: new. Paperback. The text comprehensively focuses on the concepts, implementation, and application of evolutionary algorithms for predicting, modeling, and optimizing the various material removal processes from their origin to the current advancements. This one-of-a-kind book encapsulates all the features related to the application and implementation of evolutionary algorithms for the purpose of predicting and optimizing the process characteristics of different machining methods and their allied processes that will provide comprehensive information. It broadly explains the concepts of employing evolutionary algorithm-based optimization in a broad domain of various material removal processes. Therefore, this book will enable prospective readers to take full advantage of recent findings and advancements in the fields of traditional, advanced, micro, and hybrid machining, among others. Moreover, the simplicity of its writing will keep readers engaged throughout and make it easier for them to understand the advanced topics.The book-Offers a step-by-step guide to implement evolutionary algorithms for the overall optimization of conventional and contemporary machining processesProvides in-depth analysis of various material removal processes through evolutionary optimizationDetails an overview of different evolutionary optimization techniquesExplores advanced processing of various engineering materials-based case studiesIt further discusses different nature-inspired algorithms-based modeling, prediction, and modeling of machining responses in attempting advanced machining of the latest materials and related engineering problems along with case studies and practical examples. It will be an ideal reference text for graduate students and academic researchers working in the fields of mechanical engineering, aerospace engineering, industrial engineering, manufacturing engineering, and materials science. This text covers the latest machining processes using evolutionary optimization and comparative analysis with conventional optimization techniques. It will an ideal reference text for graduate students and academic researchers working in diverse engineering fields including mechanical, aerospace, industrial, manufacturing. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Evolutionary Optimization of Material Removal Processes | Ravi Pratap Singh (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | CRC Press | EAN 9781032192703 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This text covers the latest machining processes using evolutionary optimization and comparative analysis with conventional optimization techniques. It will an ideal reference text for graduate students and academic researchers working in diverse engineering fields including mechanical, aerospace, industrial, manufacturing.
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In den WarenkorbGebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr Ravi Pratap Singh is presently working as an Assistant Professor in the Department of Industrial & Production Engineering at Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India. Prior to this, he has also served the Depar.