A competitive mechanism based multi-objective particle swarm optimizer with fast convergence
Zhang X, Zheng X, Cheng R, Qiu J, Jin Y (2018)
Information Sciences 427: 63-76.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
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Autor*in
Zhang, Xingyi;
Zheng, Xiutao;
Cheng, Ran;
Qiu, Jianfeng;
Jin, YaochuUniBi ![](https://pub.uni-bielefeld.de/images/icon_orcid.png)
![](https://pub.uni-bielefeld.de/images/icon_orcid.png)
Abstract / Bemerkung
In the past two decades, multi-objective optimization has attracted increasing interests in the evolutionary computation community, and a variety of multi-objective optimization algorithms have been proposed on the basis of different population based meta-heuristics, where the family of multi-objective particle swarm optimization is among the most representative ones. While the performance of most existing multi-objective particle swarm optimization algorithms largely depends on the global or personal best particles stored in an external archive, in this paper, we propose a competitive mechanism based multi-objective particle swarm optimizer, where the particles are updated on the basis of the pairwise competitions performed in the current swarm at each generation. The performance of the proposed competitive multi-objective particle swarm optimizer is verified by benchmark comparisons with several state-of-the-art multi-objective optimizers, including three multi-objective particle swarm optimization algorithms and three multi-objective evolutionary algorithms. Experimental results demonstrate the promising performance of the proposed algorithm in terms of both optimization quality and convergence speed.
Erscheinungsjahr
2018
Zeitschriftentitel
Information Sciences
Band
427
Seite(n)
63-76
ISSN
0020-0255
Page URI
https://pub.uni-bielefeld.de/record/2978452
Zitieren
Zhang X, Zheng X, Cheng R, Qiu J, Jin Y. A competitive mechanism based multi-objective particle swarm optimizer with fast convergence. Information Sciences. 2018;427:63-76.
Zhang, X., Zheng, X., Cheng, R., Qiu, J., & Jin, Y. (2018). A competitive mechanism based multi-objective particle swarm optimizer with fast convergence. Information Sciences, 427, 63-76. https://doi.org/10.1016/j.ins.2017.10.037
Zhang, Xingyi, Zheng, Xiutao, Cheng, Ran, Qiu, Jianfeng, and Jin, Yaochu. 2018. “A competitive mechanism based multi-objective particle swarm optimizer with fast convergence”. Information Sciences 427: 63-76.
Zhang, X., Zheng, X., Cheng, R., Qiu, J., and Jin, Y. (2018). A competitive mechanism based multi-objective particle swarm optimizer with fast convergence. Information Sciences 427, 63-76.
Zhang, X., et al., 2018. A competitive mechanism based multi-objective particle swarm optimizer with fast convergence. Information Sciences, 427, p 63-76.
X. Zhang, et al., “A competitive mechanism based multi-objective particle swarm optimizer with fast convergence”, Information Sciences, vol. 427, 2018, pp. 63-76.
Zhang, X., Zheng, X., Cheng, R., Qiu, J., Jin, Y.: A competitive mechanism based multi-objective particle swarm optimizer with fast convergence. Information Sciences. 427, 63-76 (2018).
Zhang, Xingyi, Zheng, Xiutao, Cheng, Ran, Qiu, Jianfeng, and Jin, Yaochu. “A competitive mechanism based multi-objective particle swarm optimizer with fast convergence”. Information Sciences 427 (2018): 63-76.