An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization
Wang X, Zhang K, Wang J, Jin Y (2022)
IEEE Transactions on Evolutionary Computation 26(5): 859-871.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
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Autor*in
Wang, Xiangyu;
Zhang, Kai;
Wang, Jian;
Jin, YaochuUniBi ![](https://pub.uni-bielefeld.de/images/icon_orcid.png)
![](https://pub.uni-bielefeld.de/images/icon_orcid.png)
Abstract / Bemerkung
Sparse multiobjective optimization problems (MOPs) have become increasingly important in many applications in recent years, e.g., the search for lightweight deep neural networks and high-dimensional feature selection. However, little attention has been paid to sparse large-scale MOPs, whose Pareto-optimal sets are sparse, i.e., with many decision variables equal to zero. To address this issue, this article proposes an enhanced competitive swarm optimization algorithm assisted by a strongly convex sparse operator (SCSparse). A tricompetition mechanism is introduced into competitive swarm optimization, aiming to strike a better balance between exploration and exploitation. In addition, the SCSparse is embedded in the position updating of the particles to generate sparse solutions. Our simulation results show that the proposed algorithm outperforms the state-of-the-art methods on both sparse test problems and application examples.
Erscheinungsjahr
2022
Zeitschriftentitel
IEEE Transactions on Evolutionary Computation
Band
26
Ausgabe
5
Seite(n)
859-871
ISSN
1089-778X
eISSN
1941-0026
Page URI
https://pub.uni-bielefeld.de/record/2978331
Zitieren
Wang X, Zhang K, Wang J, Jin Y. An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization. IEEE Transactions on Evolutionary Computation. 2022;26(5):859-871.
Wang, X., Zhang, K., Wang, J., & Jin, Y. (2022). An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization. IEEE Transactions on Evolutionary Computation, 26(5), 859-871. https://doi.org/10.1109/TEVC.2021.3111209
Wang, Xiangyu, Zhang, Kai, Wang, Jian, and Jin, Yaochu. 2022. “An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization”. IEEE Transactions on Evolutionary Computation 26 (5): 859-871.
Wang, X., Zhang, K., Wang, J., and Jin, Y. (2022). An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization. IEEE Transactions on Evolutionary Computation 26, 859-871.
Wang, X., et al., 2022. An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization. IEEE Transactions on Evolutionary Computation, 26(5), p 859-871.
X. Wang, et al., “An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization”, IEEE Transactions on Evolutionary Computation, vol. 26, 2022, pp. 859-871.
Wang, X., Zhang, K., Wang, J., Jin, Y.: An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization. IEEE Transactions on Evolutionary Computation. 26, 859-871 (2022).
Wang, Xiangyu, Zhang, Kai, Wang, Jian, and Jin, Yaochu. “An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization”. IEEE Transactions on Evolutionary Computation 26.5 (2022): 859-871.