All dates for FOGA 2023 concerning the submission and reviewing process
have been extended by a week (see also below).
We invite you to submit your high-quality articles to the seventeenth
conference on the foundations of genetic algorithms (FOGA). The FOGA
series aims at advancing our understanding of the working principles
behind evolutionary algorithms and related randomized search heuristics,
such as local search algorithms, differential evolution, ant colony
optimization, particle swarm optimization, artificial immune systems,
simulated annealing, and other Monte Carlo methods for search and
optimization. Connections to related areas, such as Bayesian
optimization and direct search, are of interest as well.
== Scope ==
Topics of interest, both of theoretical and empirical nature, include
but are not limited to:
– Run time analysis
– Mathematical tools suitable for the analysis of search heuristics
– Fitness landscapes and problem difficulty
– (On- and offline) configuration and selection of algorithms,
heuristics, operators, and parameters
– Stochastic and dynamic environments, noisy evaluations
– Constrained optimization
– Problem representation
– Complexity theory for search heuristics
– Multi-objective optimization
– Benchmarking aspects, including performance measures, the
selection of meaningful benchmark problems, and statistical aspects
– Connection between black-box optimization and machine learning
== Important Dates ==
– Submissions due: May 4, AoE
– Acceptance notification: June 30
– Camera-ready versions due: July 13
== ThRaSH Day ==
https://hpi.de/foga2023/?page_id=1008
This year, co-located with FOGA 2023, on August 29 (the day before
FOGA), there is a half-day event organized as part of the ThRaSH seminar
series. The event consists of a few technical contributions for which at
most conferences there is not enough time. Each contribution is a 30–60
minutes detailed proof discussion, highlighting the tools used in order
to derive the result. If you are interested in giving a talk, please
contact Timo Kötzing (Timo.Koetzing@hpi.de) until June 30.
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