Adaptive Aggregative Multitask Competitive Particle Swarm Optimization with Bi-Directional Asymmetric Flip Strategy for High-Dimensional Feature Selection
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Zhang, Yong 
ORCID: https://orcid.org/0009-0004-8659-3667, Du, Ke-Jing ORCID: https://orcid.org/0009-0007-4909-7455, Jiang, Yi ORCID: https://orcid.org/0000-0003-1965-0372, Wang, Li-Min ORCID: https://orcid.org/0000-0002-0576-3950, Wang, Hua ORCID: https://orcid.org/0000-0002-8465-0996 and Zhan, Zhi-Hui ORCID: https://orcid.org/0000-0003-0862-0514
(2024)
Adaptive Aggregative Multitask Competitive Particle Swarm Optimization with Bi-Directional Asymmetric Flip Strategy for High-Dimensional Feature Selection.
In: GECCO '24: Genetic and Evolutionary Computation Conference, 14 Jul 2024 - 18 Jul 2024, Melbourne VIC Australia.
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| Item type | Conference or Workshop Item (Paper) |
| URI | https://vuir.vu.edu.au/id/eprint/49450 |
| DOI | 10.1145/3638529.3654021 |
| Official URL | https://dl.acm.org/doi/10.1145/3638529.3654021 |
| ISBN | 9798400704949 |
| Subjects | Current > FOR (2020) Classification > 4602 Artificial intelligence Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Download/View statistics | View download statistics for this item |
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