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An evolutionary algorithm for multiobjective optimization: the strength Pareto approach
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Citations
Cited by
HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization
Bader, J., & Zitzler, E. (2011) · Evolutionary Computation · doi:10.1162/evco_a_00009 · Cited by 2,081
Self-citationMulti-objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems
Deb, K. (1999) · Evolutionary Computation · doi:10.1162/evco.1999.7.3.205 · Cited by 1,451
Deb, K., & Deb, K. (2014) · Search Methodologies · doi:10.1007/978-1-4614-6940-7_15 · Cited by 1,248
A Simulated Annealing-Based Multiobjective Optimization Algorithm: AMOSA
Bandyopadhyay, S., Saha, S., Maulik, U., & Deb, K. (2008) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2007.900837 · Cited by 852
Pareto Multi Objective Optimization
Ngatchou, P., Zarei, A., & El-Sharkawi, A. (2006) · Proceedings of the 13th International Conference on, Intelligent Systems Application to Power Systems · doi:10.1109/isap.2005.1599245 · Cited by 664
Metadata
- Authors
- Zitzler, E., & Thiele, L.
- Venue
- Repository for Publications and Research Data (ETH Zurich)
- Publisher
- ETH Zurich
- Published
- 1998-05-01
- Volume
- 43
- OpenAlex
- W1690614984
- Cited by
- 689
- References
- 0
- Type
- report
- Language
- en
- Open access
- green
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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.
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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: An evolutionary algorithm for multiobjective optimization: the strength Pareto approach. https://app.cochat.ai/papers/10.3929/ethz-a-004288833
- The paper
- Zitzler, E., & Thiele, L. (1998). An evolutionary algorithm for multiobjective optimization: the strength Pareto approach. Repository for Publications and Research Data (ETH Zurich). https://doi.org/10.3929/ethz-a-004288833
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.
