DagRep.12.5.17.pdf
- Filesize: 2.29 MB
- 20 pages
Document
Estimation-of-Distribution Algorithms: Theory and Applications (Dagstuhl Seminar 22182)
Authors and all authors of the abstracts in this report
-
Part of:
Issue:
Dagstuhl Reports, Volume 12, Issue 5
Volume: Dagstuhl Reports, Volume 12
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2022-12-08
Cite AsGet BibTex
Josu Ceberio Uribe, Benjamin Doerr, Carsten Witt, and Vicente P. Soloviev. Estimation-of-Distribution Algorithms: Theory and Applications (Dagstuhl Seminar 22182). In Dagstuhl Reports, Volume 12, Issue 5, pp. 17-36, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)
https://doi.org/10.4230/DagRep.12.5.17
https://doi.org/10.4230/DagRep.12.5.17
Abstract
The Dagstuhl seminar 22182 Estimation-of-Distribution Algorithms: Theory and Practice on May 2-6, 2022 brought together 19 international experts in estimation-of-distribution algorithms (EDAs). Their research ranged from a theoretical perspective, e.g., runtime analysis on synthetic problems, to an applied perspective, e.g., solutions of industrial optimization problems with EDAs. This report documents the program and the outcomes of the seminar.
Subject Classification
ACM Subject Classification
- Computing methodologies → Search methodologies
- Theory of computation → Design and analysis of algorithms
Keywords
- estimation-of-distribution algorithms
- heuristic search and optimization
- machine learning
- probabilistic model building
Metrics
- Access Statistics
-
Total Accesses (updated on a weekly basis)
0PDF Downloads