The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Indicator-Based Selection in Multiobjective Search
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Citations
Cites
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
Cited by
Platemo: a matlab platform for evolutionary multi-objective optimization [educational forum]
Tian, Y., Cheng, R., Zhang, X., & Jin, Y. (2017) · IEEE Computational Intelligence Magazine · doi:10.1109/mci.2017.2742868 · Cited by 2,777
Evolutionary many-objective optimization: A short review
Ishibuchi, H., Tsukamoto, N., & Nojima, Y. (2008) · 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence) · doi:10.1109/cec.2008.4631121 · Cited by 914
Covariance 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
Tian, Y., Cheng, R., Zhang, X., Cheng, F., & Jin, Y. (2018) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2017.2749619 · Cited by 699
A Survey on the Hypervolume Indicator in Evolutionary Multiobjective Optimization
Shang, K., Ishibuchi, H., He, L., & Pang, L. M. (2021) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2020.3013290 · Cited by 380
Metadata
- Authors
- Zitzler, E., & Künzli, S.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2004
- Pages
- 832-842
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1588375755
- Cited by
- 2,259
- References
- 1
- FWCI
- 7.94
- Type
- conference paper
- Language
- en
- Open access
- closed
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- The paper
- Zitzler, E., & Künzli, S. (2004). Indicator-Based Selection in Multiobjective Search. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-540-30217-9_84
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.
