Overview
- Presents an in-depth analysis on parallel Surrogate-Based Optimization (SBO) algorithms
- Introduces a novel benchmarking framework for the fair comparison of parallel SBO algorithms
- Focuses on the application of parallel SBO
Part of the book series: Studies in Computational Intelligence (SCI, volume 1099)
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Table of contents (5 chapters)
Keywords
About this book
Through in-depth analysis, the need for parallel SBO solvers is emphasized, and it is demonstrated that they outperform model-free algorithms in scenarios with a low evaluation budget. The SBO approach helps practitioners save significant amounts of time and resources in hyperparameter tuning as well as other optimization projects. As a highlight, a novel framework for objectively comparing the efficiency of parallel SBO algorithms is introduced, enabling practitioners to evaluate and select the most effective approach for their specific use case.
Based on practical examples, decision support is delivered, detailing which parts of industrial optimization projects can be parallelized and how to prioritize which parts to parallelize first. By following the framework, practitioners can make informed decisions about how to allocate resources and optimize their models efficiently.
Authors and Affiliations
Bibliographic Information
Book Title: Enhancing Surrogate-Based Optimization Through Parallelization
Authors: Frederik Rehbach
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-031-30609-9
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-30608-2Published: 30 May 2023
Softcover ISBN: 978-3-031-30611-2Due: 30 June 2023
eBook ISBN: 978-3-031-30609-9Published: 29 May 2023
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: X, 115
Number of Illustrations: 7 b/w illustrations, 26 illustrations in colour