High-Performance Simulation-Based Optimization

Bartz-Beielstein, Thomas (Edited by)/ Filipic, Bogdan (Edited by)/ Koro ec, Peter (Edited by)/ Talbi, El-Ghazali (Edited by)

ISBN 10: 3030187632 / ISBN 13: 9783030187637

Editore: Springer, 2019

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291 pages. 9.50x6.25x1.00 inches. In Stock.

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Dati bibliografici

• Titolo: High-Performance Simulation-Based Optimization
• Editore: Springer
• Data di pubblicazione: 2019
• Lingua: Inglese
• ISBN 10: 3030187632
• ISBN 13: 9783030187637
• Rilegatura: Hardcover
• Condizione: Brand New
• Peso: 0,59 chilogrammi

Descrizione articolo

Riassunto

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.