Parallel Problem Solving from Nature – PPSN XVI
Produktnummer:
18d917eff85f0044ceb59ea551b349a4ca
| Themengebiete: | automated algorithm selection bayesian- and surrogate-assisted optimization benchmarking combinatorial optimization evolutionary algorithms genetic alogrithms genetic programming landscape analysis multi- and many objective optimization performance measures |
|---|---|
| Veröffentlichungsdatum: | 02.09.2020 |
| EAN: | 9783030581145 |
| Sprache: | Englisch |
| Seitenzahl: | 717 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Bäck, Thomas Deutz, André Doerr, Carola Emmerich, Michael Preuss, Mike Trautmann, Heike Wang, Hao |
| Verlag: | Springer International Publishing |
| Untertitel: | 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II |
Produktinformationen "Parallel Problem Solving from Nature – PPSN XVI"
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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