[DMANET] [Call for Papers] 16th ACM/SIGEVO Workshop on Foundations of Genetic Algorithms (FOGA 2021)

In 2021, the FOGA conference will be held from September 6 to September 8 at
Vorarlberg University of Applied Sciences in Dornbirn, Austria.

Call-For-Papers (link):
https://www.fhv.at/fileadmin/user_upload/foga/20_FOGA_Plakat_A4_A3_web.pdf

The FOGA conference series aims at advancing the understanding of the
working principles behind Evolutionary Algorithms and related Randomized
Search heuristics. It is a premier event to discuss advances in the
theoretical foundations of these algorithms, corresponding tools and
frameworks suitable to analyze them, and different aspects of comparing
algorithm performance.

Topics of interest include, but are not limited to:

- Run time analysis
- Mathematical tools suitable for the analysis of search heuristics
- Fitness landscapes and problem difficulty
- 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
- Connections between black-box optimization and machine learning

FOGA 2021 invites submissions covering the entire spectrum of work, ranging
from rigorously derived mathematical results to carefully designed
empirical studies.

All submissions will be subject to a thorough *double-blind review* with
subsequent rebuttal phase. Accepted papers will be included in the FOGA
proceedings published by *ACM Press*.

Important dates:
Submission deadline April 30, 2021
Author rebuttal phase June 1 - 7, 2021
Early-registration until July 14, 2021

We look forward to your contributions!

Best wishes,
Steffen Finck, Michael Hellwig and Pietro S. Oliveto (Organizers)


--
Pietro S. Oliveto
Senior Lecturer,
EPSRC Early Career Fellow,
Department of Computer Science,
The University of Sheffield, Sheffield, UK.
*www.dcs.shef.ac.uk/people/P.Oliveto/rig/
<http://www.dcs.shef.ac.uk/people/P.Oliveto/rig/>*

*Fully funded PhD studentships available now* in time complexity analysis
of bio-inspired computation. Enquiries by excellent candidates can be sent
to me by email. Applications will be accepted until the posts are filled.
Further details are here
<http://staffwww.dcs.shef.ac.uk/people/P.Oliveto/PhDStudentships.html>.
Applicants should apply using the online application form here
<http://www.shef.ac.uk/postgraduate/online>

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