Similarity-based evolution control for fitness estimation in particle swarm optimization
Sun C, Zeng J, Pan J, Jin Y (2013)
In: Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE). IEEE: 1-8.
Konferenzbeitrag
| Veröffentlicht | Englisch
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Autor*in
Sun, Chaoli;
Zeng, Jianchao;
Pan, Jengshyang;
Jin, YaochuUniBi 
Abstract / Bemerkung
Evolution control in the surrogate-assisted evolutionary and other meta-heuristic optimization algorithms is essential for their success in efficiently achieving the global optimum. In order to further reduce the number of fitness evaluations, a similarity-based evolution control method is introduced into the fitness estimation strategy for particle swarm optimization (FESPSO) [1]. In the proposed method, the fitness of a particle is either estimated or evaluated, depending on its similarity to the particle whose fitness is known. The performance of the proposed algorithm is examined on eight benchmark problems, and the simulation results show that the proposed algorithm is highly competitive on reducing the number of required fitness evaluations using the computationally expensive fitness function.
Erscheinungsjahr
2013
Titel des Konferenzbandes
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE)
Seite(n)
1-8
Konferenz
2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE)
Konferenzort
Singapore
Konferenzdatum
2013-04-16 – 2013-04-19
eISBN
978-1-4673-5849-1
Page URI
https://pub.uni-bielefeld.de/record/2978574
Zitieren
Sun C, Zeng J, Pan J, Jin Y. Similarity-based evolution control for fitness estimation in particle swarm optimization. In: Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE). IEEE; 2013: 1-8.
Sun, C., Zeng, J., Pan, J., & Jin, Y. (2013). Similarity-based evolution control for fitness estimation in particle swarm optimization. Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE), 1-8. IEEE. https://doi.org/10.1109/CIDUE.2013.6595765
Sun, Chaoli, Zeng, Jianchao, Pan, Jengshyang, and Jin, Yaochu. 2013. “Similarity-based evolution control for fitness estimation in particle swarm optimization”. In Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE), 1-8. IEEE.
Sun, C., Zeng, J., Pan, J., and Jin, Y. (2013). “Similarity-based evolution control for fitness estimation in particle swarm optimization” in Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE) (IEEE), 1-8.
Sun, C., et al., 2013. Similarity-based evolution control for fitness estimation in particle swarm optimization. In Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE). IEEE, pp. 1-8.
C. Sun, et al., “Similarity-based evolution control for fitness estimation in particle swarm optimization”, Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE), IEEE, 2013, pp.1-8.
Sun, C., Zeng, J., Pan, J., Jin, Y.: Similarity-based evolution control for fitness estimation in particle swarm optimization. Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE). p. 1-8. IEEE (2013).
Sun, Chaoli, Zeng, Jianchao, Pan, Jengshyang, and Jin, Yaochu. “Similarity-based evolution control for fitness estimation in particle swarm optimization”. Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE). IEEE, 2013. 1-8.
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