Bäck Parallel Problem Solving from Nature – PPSN XVI

Parallel Problem Solving from Nature – PPSN XVI

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

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Beschreibung

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.



Autor*in

Thomas Bäck

Themen in »Parallel Problem Solving from Nature – PPSN XVI«

genetic alogrithms evolutionary algorithms multi- and many objective optimization bayesian- and surrogate-assisted optimization combinatorial optimization genetic programming landscape analysis benchmarking performance measures automated algorithm selection reinforcement learning real-world applications adaptive algorithms artificial intelligence computer networks

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Details

ISBN: 9783030581114
Verlag: Springer International Publishing
Erscheinung: 03.09.2020

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