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Parallel Problem Solving from Nature - PPSN XVII : 17th International Conference, PPSN 2022, Dortmund, Germany, September 10-14, 2022, Proceedings, Part I /

This two-volume set LNCS 13398 and LNCS 13399 constitutes the refereed proceedings of the 17th International Conference on Parallel Problem Solving from Nature, PPSN 2022, held in Dortmund, Germany, in September 2022. The 87 revised full papers were carefully reviewed and selected from numerous subm...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Rudolph, Günter (Editor), Kononova, Anna V. (Editor), Aguirre, Hernán (Editor), Kerschke, Pascal (Editor), Ochoa, Gabriela (Editor), Tušar, Tea (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2022.
Edition:1st ed. 2022.
Series:Lecture Notes in Computer Science, 13398
Subjects:
Computer science.
Application software.
Artificial intelligence.
Machine learning.
Computer science-Mathematics.
Social sciences-Data processing.
Theory of Computation.
Computer and Information Systems Applications.
Artificial Intelligence.
Machine Learning.
Mathematics of Computing.
Computer Application in Social and Behavioral Sciences.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:This two-volume set LNCS 13398 and LNCS 13399 constitutes the refereed proceedings of the 17th International Conference on Parallel Problem Solving from Nature, PPSN 2022, held in Dortmund, Germany, in September 2022. The 87 revised full papers were carefully reviewed and selected from numerous submissions. The conference presents a study of computing methods derived from natural models. Amorphous Computing, Artificial Life, Artificial Ant Systems, Artificial Immune Systems, Artificial Neural Networks, Cellular Automata, Evolutionary Computation, Swarm Computing, Self-Organizing Systems, Chemical Computation, Molecular Computation, Quantum Computation, Machine Learning, and Artificial Intelligence approaches using Natural Computing methods are just some of the topics covered in this field.
Physical Description:1 online resource (XXIV, 619 pages 202 illustrations, 189 illustrations in color)
ISBN:9783031147142
ISSN:1611-3349 ;
DOI:10.1007/978-3-031-14714-2