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.

• Format: Hardcover
• Language: English
• ISBN: 3030187632
• ISBN13: 9783030187637
• Release Date: June 2019
• Publisher: Springer
• Length: 291 Pages
• Weight: 1.34 lbs.
• Dimensions: 0.8" x 6.1" x 9.2"