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Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 17191)
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Dagstuhl Reports, Volume 7, Issue 5
Volume: Dagstuhl Reports, Volume 7
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution 3.0 Unported license
- Publication Date: 2017-12-20
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Carola Doerr, Christian Igel, Lothar Thiele, and Xin Yao. Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 17191). In Dagstuhl Reports, Volume 7, Issue 5, pp. 22-55, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)
https://doi.org/10.4230/DagRep.7.5.22
Abstract
This report summarizes the talks, breakout sessions, and discussions at the Dagstuhl Seminar 17191 on "Theory of Randomized Optimization Heuristics", held during the week from May 08 until May 12, 2017, in Schloss Dagstuhl -- Leibniz Center for Informatics. The meeting is the successor of the "Theory of Evolutionary Algorithm" seminar series, where the change in the title reflects the development of the research field toward a broader range of heuristics. The seminar has hosted 40 researchers from 15 countries. Topics that have been intensively discussed at the seminar include population-based heuristics, constrained optimization, non-static parameter choices as well as connections to research in machine learning.
Subject Classification
Keywords
- algorithms and complexity
- evolutionary algorithms
- machine learning
- optimization
- soft computing
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