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Parallel Problem Solving from Nature – PPSN XVI

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

  • Conference proceedings
  • © 2020


Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12269)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: PPSN 2020.

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Table of contents (50 papers)

  1. Automated Algorithm Selection and Configuration

  2. Bayesian- and Surrogate-Assisted Optimization

  3. Benchmarking and Performance Measures

Other volumes

  1. Parallel Problem Solving from Nature – PPSN XVI

  2. Parallel Problem Solving from Nature – PPSN XVI


About this book

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.

Editors and Affiliations

  • Leiden University, Leiden, The Netherlands

    Thomas Bäck, Mike Preuss, André Deutz, Michael Emmerich

  • Sorbonne University, Paris, France

    Hao Wang, Carola Doerr

  • University of Münster, Münster, Germany

    Heike Trautmann

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