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Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032191104 ISBN 13: 9781032191102
Language: English
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ISBN 10: 1032191104 ISBN 13: 9781032191102
Language: English
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Paperback. Condition: new. Paperback. The text comprehensively discusses computational models including artificial neural networks, agent-based models, and decision field theory for reliability engineering. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, computer engineering, and materials science. Discusses the development of sustainable materials using metaheuristic approaches. Covers computational models such as agent-based models, ontology, and decision field theory for reliability engineering. Presents swarm intelligence methods such as ant colony optimization, particle swarm optimization, and grey wolf optimization for solving the manufacturing process. Include case studies for industrial optimizations. Explores the use of computational optimization for reliability and maintainability theory. The text covers swarm intelligence techniques including ant colony optimization, particle swarm optimization, cuckoo search, and genetic algorithms for solving complex industrial problems of the manufacturing industry as well as predicting reliability, maintainability, and availability of several industrial components. The text comprehensively discusses computational models including artificial neural networks, agent-based models, and decision field theory for reliability engineering. It will serve as an ideal reference text for graduate students and academic researchers in the field of industrial engineering Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Published by Engineering Science Reference, 2020
ISBN 10: 179985003X ISBN 13: 9781799850038
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ISBN 10: 1032191104 ISBN 13: 9781032191102
Language: English
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Add to basketPaperback. Condition: new. Paperback. The text comprehensively discusses computational models including artificial neural networks, agent-based models, and decision field theory for reliability engineering. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, computer engineering, and materials science. Discusses the development of sustainable materials using metaheuristic approaches. Covers computational models such as agent-based models, ontology, and decision field theory for reliability engineering. Presents swarm intelligence methods such as ant colony optimization, particle swarm optimization, and grey wolf optimization for solving the manufacturing process. Include case studies for industrial optimizations. Explores the use of computational optimization for reliability and maintainability theory. The text covers swarm intelligence techniques including ant colony optimization, particle swarm optimization, cuckoo search, and genetic algorithms for solving complex industrial problems of the manufacturing industry as well as predicting reliability, maintainability, and availability of several industrial components. The text comprehensively discusses computational models including artificial neural networks, agent-based models, and decision field theory for reliability engineering. It will serve as an ideal reference text for graduate students and academic researchers in the field of industrial engineering Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032191104 ISBN 13: 9781032191102
Language: English
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Add to basketPaperback. Condition: new. Paperback. The text comprehensively discusses computational models including artificial neural networks, agent-based models, and decision field theory for reliability engineering. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, computer engineering, and materials science. Discusses the development of sustainable materials using metaheuristic approaches. Covers computational models such as agent-based models, ontology, and decision field theory for reliability engineering. Presents swarm intelligence methods such as ant colony optimization, particle swarm optimization, and grey wolf optimization for solving the manufacturing process. Include case studies for industrial optimizations. Explores the use of computational optimization for reliability and maintainability theory. The text covers swarm intelligence techniques including ant colony optimization, particle swarm optimization, cuckoo search, and genetic algorithms for solving complex industrial problems of the manufacturing industry as well as predicting reliability, maintainability, and availability of several industrial components. The text comprehensively discusses computational models including artificial neural networks, agent-based models, and decision field theory for reliability engineering. It will serve as an ideal reference text for graduate students and academic researchers in the field of industrial engineering Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Elsevier Science & Technology, 2022
ISBN 10: 0323852149 ISBN 13: 9780323852142
Language: English
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Published by Taylor & Francis Ltd, 2023
ISBN 10: 103219104X ISBN 13: 9781032191041
Language: English
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Published by Engineering Science Reference, 2020
ISBN 10: 179985485X ISBN 13: 9781799854852
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Published by Engineering Science Reference, 2020
ISBN 10: 179985485X ISBN 13: 9781799854852
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Published by Engineering Science Reference, 2020
ISBN 10: 179985485X ISBN 13: 9781799854852
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