High-Performance Simulation-Based Optimization (Studies In Computational Intelligence, 833)

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.

• | Author: Thomas Bartz-Beielstein, Bogdan Filipic, Peter Koro?ec, El-Ghazali Talbi
• | Publisher: Springer
• | Publication Date: Jun 14, 2019
• | Number of Pages: 304 pages
• | Language: English
• | Binding: Hardcover
• | ISBN-10: 3030187632
• | ISBN-13: 9783030187637