The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances
Abstract
This paper describes the idea of MOEA/D and proposes a strategy for allocating the computational resource to different subproblems in MOEA/D. The new version of MOEA/D has been tested on all the CEC09 unconstrained MOP test instances.
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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
MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition
Zhang, Q., & Li, H. (2007) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2007.892759 · Cited by 10,069
Self-citationNonlinear Multiobjective Optimization
Miettinen, K. (1998) · International Series in Operations Research & Management Science · doi:10.1007/978-1-4615-5563-6 · Cited by 4,710
Nonlinear Multiobjective Optimization
Mardle, S., & Miettinen, K. M. (2000) · The Journal of the Operational Research Society · doi:10.2307/254267 · Cited by 3,049
Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II
Li, H., & Zhang, Q. (2009) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2008.925798 · Cited by 2,543
Self-citationKnowles, J., & Corne, D. (2003) · Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406) · doi:10.1109/cec.1999.781913 · Cited by 1,278
A multi-objective genetic local search algorithm and its application to flowshop scheduling
Ishibuchi, H., & Murata, T. (1998) · IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) · doi:10.1109/5326.704576 · Cited by 1,019
SPEA2: Improving the Strength Pareto Evolutionary Algorithm For Multiobjective Optimization
Zitzler, E., Giannakoglou, K., Tsahalis, D., Periaux, J., Papailiou, K., (eds, T. F., Ler, E. Z., Laumanns, M., & Thiele, L. (2002) · Cited by 1,010
Multiobjective optimization Test Instances for the CEC 2009 Special Session and Competition
Zhang, Q., Zhou, A., Zhao, S.-Z., et al. (2009) · Cited by 951
Self-citationIshibuchi, H., Yoshida, T., & Murata, T. (2003) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2003.810752 · Cited by 773
Metadata
- Authors
- Zhang, Q., Liu, W., & Li, H.
- Venue
- 2009 IEEE Congress on Evolutionary Computation
- Publisher
- IEEE
- Published
- 2009-05
- Pages
- 203-208
- OpenAlex
- W2102625537
- Cited by
- 624
- References
- 16
- FWCI
- 15.31
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Zhang, Q., Liu, W., & Li, H. (2009). The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances. 2009 IEEE Congress on Evolutionary Computation. https://doi.org/10.1109/cec.2009.4982949
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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