Book Description Soft Cover. Condition: new. Seller Inventory # 9783030187668
Book Description Condition: New. Seller Inventory # ABLIING23Mar3113020009091
Book Description Condition: New. Book is in NEW condition. 1.22. Seller Inventory # 3030187667-2-1
Book Description Condition: New. New! This book is in the same immaculate condition as when it was published 1.22. Seller Inventory # 353-3030187667-new
Book Description Condition: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. Seller Inventory # ria9783030187668_lsuk
Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents the state of the art in designing high-performance algorithms that combine simulation and optimization in order to solve complex optimization problems in science and industry, problems that involve time-consuming simulations and expensive multi-objective function evaluations. As traditional optimization approaches are not applicable per se, combinations of computational intelligence, machine learning, and high-performance computing methods are popular solutions. But finding a suitable method is a challenging task, because numerous approaches have been proposed in this highly dynamic field of research.That's where this book comes in: It covers both theory and practice, drawing on the real-world insights gained by the contributing authors, all of whom are leading researchers. Given its scope, if offers a comprehensive reference guide for researchers, practitioners, and advanced-level students interested in using computational intelligence and machine learning to solve expensive optimization problems. 308 pp. Englisch. Seller Inventory # 9783030187668
Book Description Paperback. Condition: Brand New. 308 pages. 9.25x6.10x0.73 inches. In Stock. Seller Inventory # x-3030187667
Book Description Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the state of the art in designing high-performance algorithms that combine machine learning and optimization in order to solve complex problems Provides theoretical treatments and real-world insights gained by th. Seller Inventory # 448674539
Book Description Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the state of the art in designing high-performance algorithms that combine simulation and optimization in order to solve complex optimization problems in science and industry, problems that involve time-consuming simulations and expensive multi-objective function evaluations. As traditional optimization approaches are not applicable per se, combinations of computational intelligence, machine learning, and high-performance computing methods are popular solutions. But finding a suitable method is a challenging task, because numerous approaches have been proposed in this highly dynamic field of research.That's where this book comes in: It covers both theory and practice, drawing on the real-world insights gained by the contributing authors, all of whom are leading researchers. Given its scope, if offers a comprehensive reference guide for researchers, practitioners, and advanced-level students interested in using computational intelligence and machine learning to solve expensive optimization problems. Seller Inventory # 9783030187668
Book Description Seller Inventory # STOCK12033318