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Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032192704 ISBN 13: 9781032192703
Language: English
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Paperback. Condition: 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032192704 ISBN 13: 9781032192703
Language: English
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Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032192704 ISBN 13: 9781032192703
Language: English
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Add to basketPaperback. Condition: 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.
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Add to basketPaperback. Condition: Brand New. 250 pages. 9.18x6.12x9.21 inches. In Stock.
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032192704 ISBN 13: 9781032192703
Language: English
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Add to basketPaperback. Condition: 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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Published by Apple Academic Press, 2024
ISBN 10: 1774914921 ISBN 13: 9781774914922
Language: English
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Published by Taylor & Francis Ltd, 2022
ISBN 10: 1032136510 ISBN 13: 9781032136516
Language: English
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Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032581891 ISBN 13: 9781032581897
Language: English
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Hardcover. Condition: new. Hardcover. This book covers modeling and optimization of various modern manufacturing processes such as advanced machining, hybrid manufacturing, and additive manufacturing including related case studies in these domains. Various areas like smart manufacturing, hybrid manufacturing, 3D printing, process modeling and characterization, optimization, and so forth are covered in detail. The focus of this book is on artificial neural network, finite element analysis, firefly/genetic algorithm, particle swarm, and fuzzy-based techniques, which are the main optimization and modeling techniques.Features of the book:Provides in-depth investigations on prospects of modeling and optimization of modern manufacturing processes.Detailed overview on different evolutionary and bio-inspired optimization techniques and their implementation.Provides step-by-step guidance on how to use machine learning for the enhancement of productivity and quality in modern manufacturing processes.Discusses sustainability and Industry 4.0-based content.Includes case studies and practical examples.This book is aimed at researchers and graduate students in mechanical, manufacturing, production, and industrial engineering. This book covers modeling and optimization of modern manufacturing processes such as advanced machining, hybrid manufacturing, and additive manufacturing including related case studies in these domains. Various areas like smart manufacturing, hybrid manufacturing, 3D printing, process modeling and characterization, optimization are covered. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Apple Academic Press, 2024
ISBN 10: 1774914921 ISBN 13: 9781774914922
Language: English
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Published by Apple Academic Press, 2024
ISBN 10: 1774914921 ISBN 13: 9781774914922
Language: English
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ISBN 10: 1774914921 ISBN 13: 9781774914922
Language: English
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ISBN 10: 1032581891 ISBN 13: 9781032581897
Language: English
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Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days.
Published by Apple Academic Press, 2024
ISBN 10: 1774914921 ISBN 13: 9781774914922
Language: English
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