Theoretical Computer Science and General Issues

Parallel Problem Solving from Nature – PPSN XVI

16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I

Editors: Bäck, Th., Preuss, M., Deutz, A., Wang, H., Doerr, C., Emmerich, M., Trautmann, H. (Eds.)

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  • ISBN 978-3-030-58112-1
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Softcover $109.99
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About this book

This two-volume set LNCS 12269 and LNCS 12270 constitutes the refereed proceedings of the 16th International Conference on Parallel Problem Solving from Nature, PPSN 2020, held in Leiden, The Netherlands, in September 2020.

The 99 revised full papers were carefully reviewed and selected from 268 submissions. The topics cover classical subjects such as automated algorithm selection and configuration; Bayesian- and surrogate-assisted optimization; benchmarking and performance measures; combinatorial optimization; connection between nature-inspired optimization and artificial intelligence; genetic and evolutionary algorithms; genetic programming; landscape analysis; multiobjective optimization; real-world applications; reinforcement learning; and theoretical aspects of nature-inspired optimization.


Table of contents (50 chapters)

Table of contents (50 chapters)
  • Evolving Deep Forest with Automatic Feature Extraction for Image Classification Using Genetic Programming

    Pages 3-18

    Bi, Ying (et al.)

  • Fast Perturbative Algorithm Configurators

    Pages 19-32

    Hall, George T. (et al.)

  • Dominance, Indicator and Decomposition Based Search for Multi-objective QAP: Landscape Analysis and Automated Algorithm Selection

    Pages 33-47

    Liefooghe, Arnaud (et al.)

  • Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem

    Pages 48-64

    Seiler, Moritz (et al.)

  • Automatic Configuration of a Multi-objective Local Search for Imbalanced Classification

    Pages 65-77

    Tari, Sara (et al.)

Buy this book

eBook $84.99
price for USA in USD
  • ISBN 978-3-030-58112-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $109.99
price for USA in USD
  • ISBN 978-3-030-58111-4
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Parallel Problem Solving from Nature – PPSN XVI
Book Subtitle
16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I
Editors
  • Thomas Bäck
  • Mike Preuss
  • André Deutz
  • Hao Wang
  • Carola Doerr
  • Michael Emmerich
  • Heike Trautmann
Series Title
Theoretical Computer Science and General Issues
Series Volume
12269
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-58112-1
DOI
10.1007/978-3-030-58112-1
Softcover ISBN
978-3-030-58111-4
Edition Number
1
Number of Pages
XXIX, 735
Number of Illustrations
92 b/w illustrations, 169 illustrations in colour
Topics