Parallel Problem Solving from Nature - PPSN XVI | 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II

Thomas Bäck (u. a.)

ISBN 10: 3030581144 / ISBN 13: 9783030581145

Published by Springer, 2020

About this Item

Parallel Problem Solving from Nature - PPSN XVI | 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II | Thomas Bäck (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xxix | Englisch | 2020 | Springer | EAN 9783030581145 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 118770863

Bibliographic Details

• Title: Parallel Problem Solving from Nature - PPSN XVI | 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II
• Publisher: Springer
• Publication Date: 2020
• Language: English
• ISBN 10: 3030581144
• ISBN 13: 9783030581145
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 40D millimeters 235 millimeters width by 155 millimeters height by 40 millimeters depth
• Weight: 1112 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.