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Cited by 401

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

DEPSO: hybrid particle swarm with differential evolution operator

Wen-Jun Zhang, Xiao-Feng Xie·2004·SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483)

Abstract

A hybrid particle swarm with differential evolution operator, termed DEPSO, which provide the bell-shaped mutations with consensus on the population diversity along with the evolution, while keeping the self-organized particle swarm dynamics, is proposed. Then it is applied to a set of benchmark functions, and the experimental results illustrate its efficiency.

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Metadata

Authors
Zhang, W.-J., & Xie, X.-F.
Venue
SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483)
Publisher
IEEE
Published
2004-04-23
Volume
4
Pages
3816-3821
ISSN
1062-922X (ISSN-L)
OpenAlex
W2100170252
Cited by
401
References
19
FWCI
9.11
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: DEPSO: hybrid particle swarm with differential evolution operator. https://app.cochat.ai/papers/10.1109/icsmc.2003.1244483
The paper
Zhang, W.-J., & Xie, X.-F. (2004). DEPSO: hybrid particle swarm with differential evolution operator. SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483). https://doi.org/10.1109/icsmc.2003.1244483

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.