TY  - BOOK
AU  - Bäck,Thomas
AU  - Preuss,Mike
AU  - Deutz,André
AU  - Wang,Hao
AU  - Doerr,Carola
AU  - Emmerich,Michael
AU  - Trautmann,Heike
ED  - SpringerLink (Online service)
TI  - Parallel Problem Solving from Nature – PPSN XVI: 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I 
T2  - Theoretical Computer Science and General Issues,
SN  - 9783030581121
AV  - QA75.5-76.95 
PY  - 2020///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Computer science
KW  - Artificial intelligence
KW  - Mathematics
KW  - Discrete mathematics
KW  - Mathematical statistics
KW  - Computer networks 
KW  - Theory of Computation
KW  - Artificial Intelligence
KW  - Mathematics of Computing
KW  - Discrete Mathematics in Computer Science
KW  - Probability and Statistics in Computer Science
KW  - Computer Communication Networks
N1  - 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
N2  - 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
UR  - https://doi.org/10.1007/978-3-030-58112-1
ER  -