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Verlag: Taylor & Francis Ltd (Sales) Okt 2024, 2024
ISBN 10: 1032192704 ISBN 13: 9781032192703
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware - 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 WarenkorbPaperback. Zustand: Brand New. 250 pages. 9.18x6.12x9.21 inches. In Stock.
Verlag: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032192704 ISBN 13: 9781032192703
Sprache: Englisch
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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 processes Provides in-depth analysis of various material removal processes through evolutionary optimization Details an overview of different evolutionary optimization techniques Explores advanced processing of various engineering materials-based case studies It 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Verlag: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032192704 ISBN 13: 9781032192703
Sprache: Englisch
Anbieter: AussieBookSeller, Truganina, VIC, Australien
EUR 101,41
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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 processes Provides in-depth analysis of various material removal processes through evolutionary optimization Details an overview of different evolutionary optimization techniques Explores advanced processing of various engineering materials-based case studies It 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Verlag: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032192704 ISBN 13: 9781032192703
Sprache: Englisch
Anbieter: Grand Eagle Retail, Fairfield, OH, USA
EUR 73,98
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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 processes Provides in-depth analysis of various material removal processes through evolutionary optimization Details an overview of different evolutionary optimization techniques Explores advanced processing of various engineering materials-based case studies It 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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In den WarenkorbHardback. Zustand: New. New copy - Usually dispatched within 4 working days. 185.
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