The DOI matches its Crossref record.
2015 IEEE Congress on Evolutionary Computation (CEC2015)
Open accessAbstract
systems Industrial applications of EC Artificial life Evolvable/adaptive hardware and systems Evolutionary game theory Agent-based systems Evolving neural networks and fuzzy systems Cognitive systems and applications Bioinformatics and bioengineering Evolutionary multi-objective optimization Computational finance and economics Coevolution and collective behavior Molecular and quantum computing Estimation of distribution algorithms Combinatorial and numerical optimization Particle Swarm Optimization Evolutionary design Constraint and uncertainty handling Artificial immune systems Evolutionary scheduling Evolutionary data mining Representation and operators
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
Cited by
Social big data: recent achievements and new challenges
Bello-Orgaz, G., Jung, J. J., & Camacho, D. (2016) · Information Fusion · doi:10.1016/j.inffus.2015.08.005 · Cited by 846
Ensembles for feature selection: A review and future trends
Bolón-Canedo, V., & Alonso-Betanzos, A. (2019) · Information Fusion · doi:10.1016/j.inffus.2018.11.008 · Cited by 541
Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review
Houssein, E. H., Emam, M. M., Ali, A. A., & Suganthan, P. N. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2020.114161 · Cited by 404
Ensemble of differential evolution variants
Wu, G., Shen, X., Li, H., Chen, H., Lin, A., & Suganthan, P. N. (2018) · Information Sciences · doi:10.1016/j.ins.2017.09.053 · Cited by 386
Car-sharing services: An annotated review
Ferrero, F., Perboli, G., Rosano, M., & Vesco, A. (2018) · Sustainable Cities and Society · doi:10.1016/j.scs.2017.09.020 · Cited by 319
Metadata
- Venue
- IEEE Computational Intelligence Magazine
- Published
- 2015-02
- Volume
- 10
- Issue
- 1
- Pages
- 19-19
- ISSN
- 1556-603X (ISSN-L)
- OpenAlex
- W4300815771
- Cited by
- 805
- References
- 0
- FWCI
- 55.37
- Type
- journal article
- Language
- en
- Open access
- bronze
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: 2015 IEEE Congress on Evolutionary Computation (CEC2015). https://app.cochat.ai/papers/10.1109/mci.2014.2369861
- The paper
- 2015 IEEE Congress on Evolutionary Computation (CEC2015). (2015). IEEE Computational Intelligence Magazine. https://doi.org/10.1109/mci.2014.2369861
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.
