bokomslag High-Performance Simulation-Based Optimization
Data & IT

High-Performance Simulation-Based Optimization

Thomas Bartz-Beielstein Bogdan Filipi Peter Koroec El-Ghazali Talbi

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  • 291 sidor
  • 2020
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. Thats 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.
  • Författare: Thomas Bartz-Beielstein, Bogdan Filipi, Peter Koroec, El-Ghazali Talbi
  • Format: Pocket/Paperback
  • ISBN: 9783030187668
  • Språk: Engelska
  • Antal sidor: 291
  • Utgivningsdatum: 2020-08-14
  • Förlag: Springer Nature Switzerland AG