The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Quality Assessment of Pareto Set Approximations
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Citations
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
A fast and elitist multiobjective genetic algorithm: NSGA-II
Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.996017 · Cited by 50,053
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1994) · doi:10.1201/9780429246593 · Cited by 40,500
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1993) · doi:10.1007/978-1-4899-4541-9 · Cited by 21,230
Multi-Objective Optimization Using Evolutionary Algorithms
Deb, K., & Kalyanmoy, D. (2001) · Andalas University Repository (Andalas University) · Cited by 14,918
Practical Nonparametric Statistics
Groggel, D. J. (2000) · Technometrics · doi:10.1080/00401706.2000.10486067 · Cited by 11,041
Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach
Zitzler, E., & Thiele, L. (1999) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.797969 · Cited by 8,798
Self-citationWhat's wrong with Bonferroni adjustments
Perneger, T. V. (1998) · BMJ · doi:10.1136/bmj.316.7139.1236 · Cited by 5,900
Evolutionary Algorithms for Solving Multi-Objective Problems
(2007) · Genetic and Evolutionary Computation Series · doi:10.1007/978-0-387-36797-2 · Cited by 5,686
Simultaneous Statistical Inference
Miller, R. G. (1981) · Springer Series in Statistics · doi:10.1007/978-1-4613-8122-8 · Cited by 5,604
Cited by
A practical guide to multi-objective reinforcement learning and planning
Hayes, C. F., Rădulescu, R., Bargiacchi, E., Källström, J., Macfarlane, M., Reymond, M., Verstraeten, T., Zintgraf, L. M., Dazeley, R., Heintz, F., et al. (2022) · Autonomous Agents and Multi-Agent Systems · doi:10.1007/s10458-022-09552-y · Cited by 400
“It has been widely used in multi-objective evolutionary optimisation [Zitzler et al., 2008] and reinforcement learning [Vamplew et al.”
BackgroundMethodPareto or Non-Pareto: Bi-Criterion Evolution in Multiobjective Optimization
Li, M., Yang, S., & Liu, X. (2016) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2015.2504730 · Cited by 309
Tsai, J.-T., Fang, J.-C., & Chou, J.-H. (2013) · Computers & Operations Research · doi:10.1016/j.cor.2013.06.012 · Cited by 272
Metadata
- Authors
- Zitzler, E., Knowles, J., & Thiele, L.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2008
- Pages
- 373-404
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2118028531
- Cited by
- 313
- References
- 36
- FWCI
- 6.74
- Type
- conference paper
- 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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Quality Assessment of Pareto Set Approximations. https://app.cochat.ai/papers/10.1007/978-3-540-88908-3_14
- The paper
- Zitzler, E., Knowles, J., & Thiele, L. (2008). Quality Assessment of Pareto Set Approximations. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-540-88908-3_14
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.
