Scholar4AI Updated 2026-11-02 12:20 UTC+09:00

FOGA: Foundations of Genetic Algorithms — papers and institutions, 2024–2026

Papers of FOGA, Foundations of Genetic Algorithms (CORE rank A; field: Artificial intelligence), 2024–2026: per year, the institutions, countries and topics, and the most-cited papers. Ranks are those of the CORE Conference Rankings, edition ICORE2026 (portal.core.edu.au), applied to every year shown. Papers are the works OpenAlex lists for the conference's proceedings, or for the issues of a conference-linked journal that publishes its papers (such as PACMPL, PVLDB or ACM TOG), by publication year; workshops, companion volumes, posters and Findings are left out. A paper counts once for each institution and country among its authors' affiliations as OpenAlex assigns them; papers without affiliations in OpenAlex count for none. For conferences published in book series that OpenAlex files as one source (LNCS, LIPIcs, SIAM and IOS Press proceedings), the papers are found by DOI: those of the volumes with the conference's title in Crossref, or LIPIcs DOIs, which name the conference. Conferences without DOIs (PMLR, USENIX, OpenReview) are listed without counts. A dash (–) for a year means OpenAlex has no papers of the conference for it yet: the proceedings are not published or indexed yet, or the conference did not meet that year (some meet every other year). 2026 counts what OpenAlex had indexed by 2026-11-02. Also as Markdown.

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Key findings#

  • FOGA (Foundations of Genetic Algorithms) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 27 of its papers from 2024–2026 (27 in 2025; 2024 and 2026 not in OpenAlex yet).
  • By the countries of the authors' institutions, the most papers come from Germany (6), the United Kingdom (5) and the United States (5).
  • The institutions with the most papers are Centre National de la Recherche Scientifique (4), Wrocław University of Science and Technology (3) and Sorbonne Université (3).
  • Its most-cited paper of these years is “A First Runtime Analysis of the PAES-25: An Enhanced Variant of the Pareto Archived Evolution Strategy” (2025), with 3 citations.

Papers per year#

FOGA papers per publication year in OpenAlex (–: not in OpenAlex yet)
YearPapersWith affiliations
2024––
20252726
2026––

Sources#

Where OpenAlex lists the papers
OpenAlex sourceWhich papers
S4306422346The conference's proceedings

Who publishes there#

Institutions with the most FOGA papers, 2024–2026
#InstitutionPapers
1Centre National de la Recherche Scientifique4
2Wrocław University of Science and Technology3
3Sorbonne Université3
4LIP63
5Southern University of Science and Technology2
6University of Minnesota, Duluth2
7The University of Adelaide2
8University of Birmingham2
9Ruhr University Bochum2
10Technical University of Denmark2
Countries with the most FOGA papers, 2024–2026
#CountryPapers
1Germany6
2United Kingdom5
3United States5
4France4
5Australia3
6Poland3
7China2
8Denmark2
9Spain2
10Netherlands2
Keywords with the most FOGA papers, 2024–2026
#KeywordPapers
1black-box optimization6
2runtime analysis6
3combinatorial optimization4
4evolution strategies3
5genetic algorithm3
6multi-objective evolutionary algorithms3
7multi-objective optimization3
8Pareto front2
9adaptive step size2
10bi-objective optimization2

Most-cited papers#

Most-cited FOGA papers of 2024–2026 (citations counted by OpenAlex)
#CitationsTitlePublishedAuthors
13A First Runtime Analysis of the PAES-25: An Enhanced Variant of the Pareto Archived Evolution Strategy2025-08-19Andre Opris
23Efficient Online Automated Algorithm Selection in the Face of Data-Drift in Optimisation Problem Instances2025-08-19Jeroen Rook, Quentin Renau, Heike Trautmann et al.
32Runtime Analysis of a Compact Genetic Algorithm with High Selection Pressure2025-08-19Sumit Adak, Carsten Witt
42Foundations of Correlated Mutations for Integer Programming2025-08-19Ofer M. Shir, Michael Emmerich
52Clearing the Combinatorial Fog: Tracing the Hidden Paths of TSP Heuristics2025-08-19Jonathan Heins, Sebastian Dengel, Darrell Whitley et al.
61Distributed Evolutionary Algorithms with Adversarial Corruption2025-08-19Brahim Aboutaib, Andrew M. Sutton
71A Fixed-Parameter Tractable GA for Data Clustering2025-08-19Liam Gaeuman, Andrew M. Sutton
81Conditional Direct Empirical Linkage Discovery for Solving Multi-Structured Problems2025-08-19Michal W. Przewozniczek, Peter A. N. Bosman, Anton Bouter et al.
91Analyzing Competitive Coevolution across Families of N-Player Games through Tree Search2025-08-19Sean N. Harris, Daniel R. Tauritz, Samuel A. Mulder
101Surrogate Model Assisted Evolutionary Algorithms: Performance Bound and Incremental Gaussian Process Model Updates2025-08-19Hong Yuan Huang, Dirk V. Arnold

Conferences in the same field#

AAAI · EMNLP · ACL · ICRA · IJCAI · HRI · EC · KR · ICAPS · IROS · Interspeech · NAACL · AAMAS · CIKM · ECAI · EACL · GECCO · IJCAR · CP · SAT · CADE

Cite this page

Scholar4AI. (2026). FOGA: Foundations of Genetic Algorithms — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/foga

@misc{scholar4ai-proceedings-foga,
  author = {{Scholar4AI}},
  title = {FOGA: Foundations of Genetic Algorithms — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/foga}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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