Binary Interaction Methods for High Dimensional Global Optimization and Machine Learning
Binary Interaction Methods for High Dimensional Global Optimization and Machine Learning
About this item
Full title
Author / Creator
Publisher
New York: Springer US
Journal title
Language
English
Formats
Publication information
Publisher
New York: Springer US
Subjects
More information
Scope and Contents
Contents
In this work we introduce a new class of gradient-free global optimization methods based on a binary interaction dynamics governed by a Boltzmann type equation. In each interaction the particles act taking into account both the best microscopic binary position and the best macroscopic collective position. For the resulting kinetic optimization meth...
Alternative Titles
Full title
Binary Interaction Methods for High Dimensional Global Optimization and Machine Learning
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2680446143
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2680446143
Other Identifiers
ISSN
0095-4616
E-ISSN
1432-0606
DOI
10.1007/s00245-022-09836-5