The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Learning probability distributions in continuous evolutionary algorithms – a comparative review
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Completely Derandomized Self-Adaptation in Evolution Strategies
Hansen, N., & Ostermeier, A. (2001) · Evolutionary Computation · doi:10.1162/106365601750190398 · Cited by 4,397
Self-citationHansen, N., Müller, S. D., & Koumoutsakos, P. (2003) · Evolutionary Computation · doi:10.1162/106365603321828970 · Cited by 2,601
Self-citationA Review on Estimation of Distribution Algorithms
Larrañaga, P. (2002) · Genetic Algorithms and Evolutionary Computation · doi:10.1007/978-1-4615-1539-5_3 · Cited by 100
Cited by
Machine Learning for Fluid Mechanics
Brunton, S. L., Noack, B. R., & Koumoutsakos, P. (2020) · Annual Review of Fluid Mechanics · doi:10.1146/annurev-fluid-010719-060214 · Cited by 3,063
Self-citationCovariance Matrix Adaptation for Multi-objective Optimization
Igel, C., Hansen, N., & Roth, S. (2007) · Evolutionary Computation · doi:10.1162/evco.2007.15.1.1 · Cited by 788
Self-citationEvaluating the CMA Evolution Strategy on Multimodal Test Functions
Hansen, N., & Kern, S. (2004) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-30217-9_29 · Cited by 758
Self-citationSimulations of optimized anguilliform swimming
Kern, S., & Koumoutsakos, P. (2006) · Journal of Experimental Biology · doi:10.1242/jeb.02526 · Cited by 420
Self-citationTheory of Evolution Strategies: A New Perspective
Auger, A., & Hansen, N. (2011) · Series on Theoretical Computer Science · doi:10.1142/9789814282673_0010 · Cited by 42
Self-citation
Metadata
- Authors
- Kern, S., Müller, S. D., Hansen, N., Büche, D., Ocenasek, J., & Koumoutsakos, P.
- Venue
- Natural Computing
- Published
- 2004-03
- Volume
- 3
- Issue
- 1
- Pages
- 77-112
- ISSN
- 1567-7818 (ISSN-L)
- 1572-9796
- OpenAlex
- W2027964569
- Cited by
- 268
- References
- 3
- FWCI
- 14.23
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Learning probability distributions in continuous evolutionary algorithms – a comparative review. https://app.cochat.ai/papers/10.1023/b:naco.0000023416.59689.4e
- The paper
- Kern, S., Müller, S. D., Hansen, N., Büche, D., Ocenasek, J., & Koumoutsakos, P. (2004). Learning probability distributions in continuous evolutionary algorithms – a comparative review. Natural Computing. https://doi.org/10.1023/b%3Anaco.0000023416.59689.4e
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
