Description
Parallel Problem Solving from Nature - PPSN XVI, 1st ed. 2020
16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II
Theoretical Computer Science and General Issues Series
Coordinators: Bäck Thomas, Preuss Mike, Deutz André, Wang Hao, Doerr Carola, Emmerich Michael, Trautmann Heike
Language: English
Subjects for Parallel Problem Solving from Nature - PPSN XVI:
Keywords
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; correlation analysis; engineering; evolutionary algorithms; machine learning; mathematics
Support: Print on demand
Description
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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.
Genetic Programming.- Landscape Analysis.- Multiobjective Optimization.- Real-World Applications.- Reinforcement Learning.- Theoretical Aspects of Nature-Inspired Optimization.
