Product Information
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.Product Identifiers
PublisherSpringer Nature Switzerland A&G
ISBN-139783030187668
eBay Product ID (ePID)2317751875
Product Key Features
Number of Pages291 Pages
LanguageEnglish
Publication NameHigh-Performance Simulation-Based Optimization
Publication Year2020
SubjectComputer Science, Mathematics
TypeTextbook
AuthorEl-Ghazali Talbi, Peter Korosec, Thomas Bartz-Beielstein, Bogdan Filipic
SeriesStudies in Computational Intelligence
Dimensions
Item Height235 mm
Item Weight474 g
Item Width155 mm
Volume833
Additional Product Features
EditorPeter Korosec, El-Ghazali Talbi, Bogdan Filipic, Thomas Bartz-Beielstein
Country/Region of ManufactureSwitzerland