Studies in Computational Intelligence

High-Performance Simulation-Based Optimization

Editors: Bartz-Beielstein, Th., Filipič, B., Korošec, P., Talbi, E.-G. (Eds.)

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  • Presents the state of the art in designing high-performance algorithms that combine machine learning and optimization in order to solve complex problems 
  • Provides theoretical treatments and real-world insights gained by the contributing authors, all of whom are leading researchers 
  • Offers a comprehensive reference guide for researchers, practitioners, and advanced-level students interested in the theory and practice of using computational intelligence to solve expensive optimization problems 
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eBook 117,69 €
price for Spain (gross)
  • ISBN 978-3-030-18764-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • Immediate eBook download after purchase and usable on all devices
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Hardcover 145,59 €
price for Spain (gross)
Softcover 103,99 €
price for Spain (gross)
About this book

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.   

Table of contents (12 chapters)

Table of contents (12 chapters)
  • Infill Criteria for Multiobjective Bayesian Optimization

    Pages 3-16

    Emmerich, Michael T. M. (et al.)

  • Many-Objective Optimization with Limited Computing Budget

    Pages 17-46

    Bhattacharjee, Kalyan Shankar (et al.)

  • Multi-objective Bayesian Optimization for Engineering Simulation

    Pages 47-68

    van der Herten, Joachim (et al.)

  • Automatic Configuration of Multi-objective Optimizers and Multi-objective Configuration

    Pages 69-92

    Bezerra, Leonardo C. T. (et al.)

  • Optimization and Visualization in Many-Objective Space Trajectory Design

    Pages 93-112

    Aguirre, Hernán (et al.)

Buy this book

eBook 117,69 €
price for Spain (gross)
  • ISBN 978-3-030-18764-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • Immediate eBook download after purchase and usable on all devices
  • Bulk discounts available
Hardcover 145,59 €
price for Spain (gross)
Softcover 103,99 €
price for Spain (gross)
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Bibliographic Information

Bibliographic Information
Book Title
High-Performance Simulation-Based Optimization
Editors
  • Thomas Bartz-Beielstein
  • Bogdan Filipič
  • Peter Korošec
  • El-Ghazali Talbi
Series Title
Studies in Computational Intelligence
Series Volume
833
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-18764-4
DOI
10.1007/978-3-030-18764-4
Hardcover ISBN
978-3-030-18763-7
Softcover ISBN
978-3-030-18766-8
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XIII, 291
Number of Illustrations
24 b/w illustrations, 47 illustrations in colour
Topics