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Evolutionary many-objective optimization: A short review
Abstract
Whereas evolutionary multiobjective optimization (EMO) algorithms have successfully been used in a wide range of real-world application tasks, difficulties in their scalability to many-objective problems have also been reported. In this paper, first we demonstrate those difficulties through computational experiments. Then we review some approaches proposed in the literature for the scalability improvement of EMO algorithms. Finally we suggest future research directions in evolutionary many-objective optimization.
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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
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Cheng, R., & Jin, Y. (2015) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2014.2322602 · Cited by 1,052
A social learning particle swarm optimization algorithm for scalable optimization
Cheng, R., & Jin, Y. (2015) · Information Sciences · doi:10.1016/j.ins.2014.08.039 · Cited by 747
Antonopoulos, I., Robu, V., Couraud, B., Kirli, D., Norbu, S., Kiprakis, A., Flynn, D., Elizondo-Gonzalez, S., & Wattam, S. (2020) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2020.109899 · Cited by 656
Laszczyk, M., & Myszkowski, P. B. (2019) · Swarm and Evolutionary Computation · doi:10.1016/j.swevo.2019.04.001 · Cited by 79
A statistical method for build orientation determination in additive manufacturing
Zhang, Y., Harik, R., Fadel, G., & Bernard, A. (2019) · Rapid Prototyping Journal · doi:10.1108/rpj-04-2018-0102 · Cited by 63
Metadata
- Authors
- Ishibuchi, H., Tsukamoto, N., & Nojima, Y.
- Venue
- 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)
- Publisher
- IEEE
- Published
- 2008-06
- Pages
- 2419-2426
- OpenAlex
- W2025525377
- Cited by
- 914
- References
- 1
- FWCI
- 21.03
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Ishibuchi, H., Tsukamoto, N., & Nojima, Y. (2008). Evolutionary many-objective optimization: A short review. 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence). https://doi.org/10.1109/cec.2008.4631121
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