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On the performance assessment and comparison of stochastic multiobjective optimizers
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Citations
Cited by
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
A review of multiobjective test problems and a scalable test problem toolkit
Huband, S., Hingston, P., Barone, L., & While, L. (2006) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2005.861417 · Cited by 2,090
Multi-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
A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques
Coello Coello, C. A. (1999) · Knowledge and Information Systems · doi:10.1007/bf03325101 · Cited by 1,367
Knowles, J. (2006) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2005.851274 · Cited by 1,254
Metadata
- Authors
- Fonseca, C. M., & Fleming, P. J.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 1996
- Pages
- 584-593
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2161055009
- Cited by
- 378
- References
- 0
- FWCI
- 2.61
- Type
- conference paper
- Language
- en
- Open access
- closed
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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
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- This page
- CoChat. (2026). Citation check: On the performance assessment and comparison of stochastic multiobjective optimizers. https://app.cochat.ai/papers/10.1007/3-540-61723-x_1022
- The paper
- Fonseca, C. M., & Fleming, P. J. (1996). On the performance assessment and comparison of stochastic multiobjective optimizers. Lecture Notes in Computer Science. https://doi.org/10.1007/3-540-61723-x_1022
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.
