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Parallel Problem Solving from Nature - PPSN XVI (eBook)

16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II
ISBN: 978-3-030-58115-2
GTIN: 9783030581152
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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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.

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.

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AutorBäck, Thomas (Hrsg.) / Preuss, Mike (Hrsg.) / Deutz, André (Hrsg.) / Wang, Hao (Hrsg.) / Doerr, Carola (Hrsg.) / Emmerich, Michael (Hrsg.) / Trautmann, Heike (Hrsg.)
VerlagSpringer International Publishing
EinbandPDF
Erscheinungsjahr2020
Seitenangabe717 S.
AusgabekennzeichenEnglisch
AbbildungenXXIX, 717 p. 318 illus., 146 illus. in color.
Auflage1st ed. 2020
PlattformPDF
ReiheLecture Notes in Computer Science; Theoretical Computer Science and General Issues
ISBN978-3-030-58115-2

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