---
title: "FOGA (A): papers and universities"
description: "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)."
url: https://scholar4ai.com/proceedings/foga
markdown_url: https://scholar4ai.com/proceedings/foga.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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). (as of 2026-11-02)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-02T12:20:52+09:00
window: 2026-10-04 to 2026-11-02
source: OpenAlex (CC0)
---

# 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.

All conferences: https://scholar4ai.com/proceedings.md

## 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)*

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | – | – |
| 2025 | 27 | 26 |
| 2026 | – | – |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S4306422346](https://openalex.org/S4306422346) | The conference's proceedings |

## Who publishes there

*Institutions with the most FOGA papers, 2024–2026*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Centre National de la Recherche Scientifique](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 4 |
| 2 | Wrocław University of Science and Technology | 3 |
| 3 | Sorbonne Université | 3 |
| 4 | LIP6 | 3 |
| 5 | Southern University of Science and Technology | 2 |
| 6 | University of Minnesota, Duluth | 2 |
| 7 | The University of Adelaide | 2 |
| 8 | [University of Birmingham](https://scholar4ai.com/institutions/university-of-birmingham.md) | 2 |
| 9 | Ruhr University Bochum | 2 |
| 10 | Technical University of Denmark | 2 |

*Countries with the most FOGA papers, 2024–2026*

| # | Country | Papers |
|---:|---|---:|
| 1 | Germany | 6 |
| 2 | United Kingdom | 5 |
| 3 | United States | 5 |
| 4 | France | 4 |
| 5 | Australia | 3 |
| 6 | Poland | 3 |
| 7 | China | 2 |
| 8 | Denmark | 2 |
| 9 | Spain | 2 |
| 10 | Netherlands | 2 |

*Keywords with the most FOGA papers, 2024–2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | black-box optimization | 6 |
| 2 | runtime analysis | 6 |
| 3 | combinatorial optimization | 4 |
| 4 | evolution strategies | 3 |
| 5 | genetic algorithm | 3 |
| 6 | multi-objective evolutionary algorithms | 3 |
| 7 | multi-objective optimization | 3 |
| 8 | Pareto front | 2 |
| 9 | adaptive step size | 2 |
| 10 | bi-objective optimization | 2 |

## Most-cited papers

*Most-cited FOGA papers of 2024–2026 (citations counted by OpenAlex)*

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 3 | [A First Runtime Analysis of the PAES-25: An Enhanced Variant of the Pareto Archived Evolution Strategy](https://doi.org/10.1145/3729878.3746618) | 2025-08-19 | Andre Opris |
| 2 | 3 | [Efficient Online Automated Algorithm Selection in the Face of Data-Drift in Optimisation Problem Instances](https://doi.org/10.1145/3729878.3746615) | 2025-08-19 | Jeroen Rook, Quentin Renau, Heike Trautmann et al. |
| 3 | 2 | [Runtime Analysis of a Compact Genetic Algorithm with High Selection Pressure](https://doi.org/10.1145/3729878.3746630) | 2025-08-19 | Sumit Adak, Carsten Witt |
| 4 | 2 | [Foundations of Correlated Mutations for Integer Programming](https://doi.org/10.1145/3729878.3746698) | 2025-08-19 | Ofer M. Shir, Michael Emmerich |
| 5 | 2 | [Clearing the Combinatorial Fog: Tracing the Hidden Paths of TSP Heuristics](https://doi.org/10.1145/3729878.3746623) | 2025-08-19 | Jonathan Heins, Sebastian Dengel, Darrell Whitley et al. |
| 6 | 1 | [Distributed Evolutionary Algorithms with Adversarial Corruption](https://doi.org/10.1145/3729878.3746622) | 2025-08-19 | Brahim Aboutaib, Andrew M. Sutton |
| 7 | 1 | [A Fixed-Parameter Tractable GA for Data Clustering](https://doi.org/10.1145/3729878.3746632) | 2025-08-19 | Liam Gaeuman, Andrew M. Sutton |
| 8 | 1 | [Conditional Direct Empirical Linkage Discovery for Solving Multi-Structured Problems](https://doi.org/10.1145/3729878.3746624) | 2025-08-19 | Michal W. Przewozniczek, Peter A. N. Bosman, Anton Bouter et al. |
| 9 | 1 | [Analyzing Competitive Coevolution across Families of N-Player Games through Tree Search](https://doi.org/10.1145/3729878.3746621) | 2025-08-19 | Sean N. Harris, Daniel R. Tauritz, Samuel A. Mulder |
| 10 | 1 | [Surrogate Model Assisted Evolutionary Algorithms: Performance Bound and Incremental Gaussian Process Model Updates](https://doi.org/10.1145/3729878.3746619) | 2025-08-19 | Hong Yuan Huang, Dirk V. Arnold |

## 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).