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.
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.
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}
}
Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).