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

Edité par Springer, 2019

A propos de cet article

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

N° de réf. du vendeur x-3030187632

Détails bibliographiques

• Titre: High-Performance Simulation-Based Optimization
• Éditeur: Springer
• Date de parution: 2019
• Langue: anglais
• ISBN à 10 chiffres: 3030187632
• ISBN à 13 chiffres: 9783030187637
• Reliure: Hardcover
• État de l'article: Brand New

A propos de ce titre

Synopsis

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.