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Optimization of Antihypertensive drug by using box-behnken design: Process Optimization- A link Between Academy and Industry
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848406608 ISBN 13: 9783848406609
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Metaheuristics Algorithm and Optimization of Engineering and Complex Systems
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Metaheuristic and Machine Learning Optimization Strategies for Complex Systems
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Metaheuristic and Machine Learning Optimization Strategies for Complex Systems
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Metaheuristics Algorithm and Optimization of Engineering and Complex Systems
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Metaheuristic and Machine Learning Optimization Strategies for Complex Systems
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Metaheuristic and Machine Learning Optimization Strategies for Complex Systems
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Optimization of Antihypertensive drug by using box-behnken design
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848406608 ISBN 13: 9783848406609
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mehta Tarak JayrajMr.Tarak Jayraj Mehta did his B.Pharm From Rajiv Gandhi University,M.Pharm From S.R.M.University,and Persuing Ph.D.,From JJT University,Jhunjhunu,he has started his carrier from B.M.C.P.E.R.,Modasa as a Lecturer,h.
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Metaheuristic and Machine Learning Optimization Strategies for Complex Systems
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Metaheuristic and Machine Learning Optimization Strategies for Complex Systems
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In contemporary engineering domains, optimization and decision-making issues are crucial. Given the vast amounts of available data, processing times and memory usage can be substantial. Developing and implementing novel heuristic algorithms is time-consuming, yet even minor improvements in solutions can significantly reduce computational costs. In such scenarios, the creation of heuristics and metaheuristic algorithms has proven advantageous. The convergence of machine learning and metaheuristic algorithms offers a promising approach to address these challenges. Metaheuristic and Machine Learning Optimization Strategies for Complex Systems covers all areas of comprehensive information about hyper-heuristic models, hybrid meta-heuristic models, nature-inspired computing models, and meta-heuristic models. The key contribution of this book is the construction of a hyper-heuristic approach for any general problem domain from a meta-heuristic algorithm. Covering topics such as cloud computing, internet of things, and performance evaluation, this book is an essential resource for researchers, postgraduate students, educators, data scientists, machine learning engineers, software developers and engineers, policy makers, and more.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In contemporary engineering domains, optimization and decision-making issues are crucial. Given the vast amounts of available data, processing times and memory usage can be substantial. Developing and implementing novel heuristic algorithms is time-consuming, yet even minor improvements in solutions can significantly reduce computational costs. In such scenarios, the creation of heuristics and metaheuristic algorithms has proven advantageous. The convergence of machine learning and metaheuristic algorithms offers a promising approach to address these challenges. Metaheuristic and Machine Learning Optimization Strategies for Complex Systems covers all areas of comprehensive information about hyper-heuristic models, hybrid meta-heuristic models, nature-inspired computing models, and meta-heuristic models. The key contribution of this book is the construction of a hyper-heuristic approach for any general problem domain from a meta-heuristic algorithm. Covering topics such as cloud computing, internet of things, and performance evaluation, this book is an essential resource for researchers, postgraduate students, educators, data scientists, machine learning engineers, software developers and engineers, policy makers, and more.
