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This report documents the program and the outcomes of Dagstuhl Seminar 24271 "Theory of Randomized Optimization Heuristics", which marks the twelfth installment of our biennial seminar series. This iteration saw a lot of discussion on important, yet rarely analyzed topics in the domain of heuristic optimization, such as mixed-integer problems, permutation spaces, and coevolution. Moreover, it aimed at unifying existing results by discussing mathematical tools (such as drift analysis), the structure of discrete problems, and a common framework for theoretical analysis and practical implementation. Last, more recent and important topics, such as constrained and multi-objective optimization, were a major part of the seminar. We had a vivid exchange in various breakout sessions and different talks, with a great mix of junior and senior participants, which was very positively received.
@Article{auger_et_al:DagRep.14.6.215,
author = {Auger, Anne and Glasmachers, Tobias and Krejca, Martin S. and Lengler, Johannes and Jungeilges, Alexander},
title = {{Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 24271)}},
pages = {215--244},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2024},
volume = {14},
number = {6},
editor = {Auger, Anne and Glasmachers, Tobias and Krejca, Martin S. and Lengler, Johannes and Jungeilges, Alexander},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.6.215},
URN = {urn:nbn:de:0030-drops-227286},
doi = {10.4230/DagRep.14.6.215},
annote = {Keywords: Black-Box Optimization Heuristics, Evolution Strategies, Genetic and Evolutionary Algorithms, Runtime and Convergence Analysis, Stochastic Processes}
}