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Slime mould algorithm and kriging surrogate model-based approach for enhanced crashworthiness of electric vehicles
Author(s) -
Betül Sultan Yıldız
Publication year - 2020
Publication title -
international journal of vehicle design
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.22
H-Index - 42
eISSN - 1741-5314
pISSN - 0143-3369
DOI - 10.1504/ijvd.2020.114786
Subject(s) - crashworthiness , engineering , surrogate model , automotive engineering , kriging , structural engineering , computer science , finite element method , machine learning

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