A many-objective particle swarm optimizer with leaders selected from historical solutions by using scalar projections
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Xiang, Yi 
ORCID: 0000-0003-2118-4825, Zhou, Yuren ORCID: 0000-0002-0497-0835, Chen, Zefeng ORCID: 0000-0003-3743-5254 and Zhang, Jun ORCID: 0000-0001-7835-9871
(2018)
A many-objective particle swarm optimizer with leaders selected from historical solutions by using scalar projections.
IEEE Transactions on Cybernetics, 50 (5).
pp. 2209-2222.
ISSN 2168-2267
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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/46351 |
| DOI | 10.1109/TCYB.2018.2884083 |
| Official URL | https://ieeexplore.ieee.org/document/8576991 |
| Subjects | Current > FOR (2020) Classification > 4602 Artificial intelligence Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | optimisation, algorithms, particle swarm optimiser, PSO, many objective optimisation problems, MaOPs |
| Download/View statistics | View download statistics for this item |
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