# EuroGP — European Conference on Genetic Programming

- **Submission deadline**: 2026-11-01
- **Notification date**: 2027-01-10
- **Conference date**: 2027-07-31
- **Location**: Mainz, Germany
- **Rankings**: CORE B · QUALIS B1
- **Trackers**: 0
- **Attendees**: 0
- **Canonical page**: https://www.myhuiban.com/conference/1598

## Acceptance history

| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| 2008 | 61 | 21 | 34.4% |
| 2007 | 71 | 21 | 29.6% |
| 2006 | 59 | 21 | 35.6% |
| 2005 | 64 | 20 | 31.3% |
| 2004 | 61 | 19 | 31.1% |
| 2003 | 61 | 24 | 39.3% |
| 2002 | 42 | 18 | 42.9% |
| 2001 | 42 | 17 | 40.5% |
| 2000 | 39 | 14 | 35.9% |

## Past editions

| Year | Deadline | Conference date | Location |
|---|---|---|---|
| 2026 | 2025-11-01 | 2026-04-08 | Toulouse, France |

## Call for papers

Areas of Interest and Contributions Topics to be covered include, but is not limited to: Methodological advances: Algorithms, representations, and operators for GP Surrogate models and fitness approximation in GP Explainability and interpretability in GP GP representations: tree-based, linear, graph-based, grammar-based Evolutionary design Multiple populations, coevolution, and modularity in GP Multi-objective GP Theoretical developments Infrastructure and Evaluation Methodologies: Benchmarking frameworks and reproducibility in GP Scalable, parallel, and distributed GP systems GP in embedded and resource-constrained environments Tools and techniques for visualization and analysis tools of GP systems Meta-evolution and Self-adaptation: Self-adaptive and self-configuring GP AutoML and GP-based pipeline optimization Meta-learning and evolution of GP parameters and operators Applications: GP for scientific discovery and symbolic modeling GP for continuous control and evolutionary robotics Real-world applications of GP in medicine, finance, etc. Evolvable hardware GP for data privacy, security, and adversarial robustness Genetic improvement and GP for software engineering Program synthesis and inductive programming via GP Hybrid and Unconventional Approaches: Hybridization of GP with other machine learning methods Neuroevolution and neural-GP hybrids Integration of GP with swarm intelligence or other evolutionary paradigms Unconventional GP paradigms Open-ended GP systems

## Related conferences

- Programming — International Conference on the Art, Science, and Engineering of Programming — https://www.myhuiban.com/conference/2069
- SIGIR — International Conference on Research and Development in Information Retrieval — https://www.myhuiban.com/conference/141
- AAAI — AAAI Conference on Artificial Intelligence — https://www.myhuiban.com/conference/408
- CVPR — IEEE Conference on Computer Vision and Pattern Recognition — https://www.myhuiban.com/conference/407
- ICRA — International Conference on Robotics and Automation — https://www.myhuiban.com/conference/421

## Related journals

- Genetic Programming and Evolvable Machines — https://www.myhuiban.com/journal/482
- Programming and Computer Software — https://www.myhuiban.com/journal/531
- IEEE Transactions on Multimedia — https://www.myhuiban.com/journal/152
- Knowledge-Based Systems — https://www.myhuiban.com/journal/227
- Software & Systems Modeling — https://www.myhuiban.com/journal/99

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Source: Conference Partner — https://www.myhuiban.com/conference/1598 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)