Parallel Problem Solving from Nature – PPSN XVI [electronic resource] : 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II /

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Material type: Text

TextSeries: Theoretical Computer Science and General Issues ; 12270Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020Description: XXIX, 717 p. 318 illus., 146 illus. in color. online resourceContent type:

text

Media type:

computer

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online resource

ISBN:

9783030581152

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Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

004.0151 23

LOC classification:

QA75.5-76.95

Online resources:

Click here to access online

Contents:

Genetic Programming -- Landscape Analysis -- Multiobjective Optimization -- Real-World Applications -- Reinforcement Learning -- Theoretical Aspects of Nature-Inspired Optimization. .

In: Springer Nature eBookSummary: 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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Genetic Programming -- Landscape Analysis -- Multiobjective Optimization -- Real-World Applications -- Reinforcement Learning -- Theoretical Aspects of Nature-Inspired Optimization. .

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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