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Book 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.   

Book details

• Full title: High-Performance Simulation-Based Optimization
• Author: Bogdan Filipic, Peter Korosec, El-Ghazali Talbi
• Language: English
• Binding: Paperback
• Number of pages: 291
• EAN: 9783030187668
• ISBN: 3030187667
• ID: 33089107
• Publisher: Springer Nature Switzerland AG
• Weight: 474 g
• Dimensions: 235 × 155 × 17 mm
• Date of publishing: 14. August 2020

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