A dynamic state transition algorithm with application to sensor network localization
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Zhou, Xiaojun, Shi, Peng 
ORCID: https://orcid.org/0000-0001-8218-586X, Lim, Cheng-Chew ORCID: https://orcid.org/0000-0002-2463-9760, Yang, Chunhua ORCID: https://orcid.org/0000-0003-2550-1509 and Gui, Weihua
(2018)
A dynamic state transition algorithm with application to sensor network localization.
Neurocomputing, 273.
237 - 250.
ISSN 0925-2312
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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/37296 |
| DOI | 10.1016/j.neucom.2017.08.010 |
| Official URL | https://www.sciencedirect.com/science/article/pii/... |
| Subjects | Historical > FOR Classification > 0102 Applied Mathematics Historical > FOR Classification > 0906 Electrical and Electronic Engineering Historical > Faculty/School/Research Centre/Department > Institute for Sustainability and Innovation (ISI) |
| Keywords | sensors; SNL problem; algorithm; fast rotation transformation; optimality; optimization problem; global search |
| Citations in Scopus | 43 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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