Parallel Problem Solving from Nature - PPSN XVI : 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I /

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 sub...

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Bäck, Thomas (Editor), Preuss, Mike (Editor), Deutz, André (Editor), Wang, Hao (Editor), Doerr, Carola (Editor), Emmerich, Michael (Editor), Trautmann, Heike (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:	1st ed. 2020.
Series:	Theoretical Computer Science and General Issues ; 12269
Subjects:	Computers. Artificial intelligence. Computer science-Mathematics. Mathematical statistics. Theory of Computation. Artificial Intelligence. Mathematics of Computing. Discrete Mathematics in Computer Science. Probability and Statistics in Computer Science. Information Systems and Communication Service. Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	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.
Physical Description:	1 online resource (XXIX, 735 pages 261 illustrations, 169 illustrations in color.)
ISBN:	9783030581121
DOI:	10.1007/978-3-030-58112-1