Parameter identification of thermoelectric modules using enhanced slime mould algorithm (ESMA)
This paper sets pioneering research which investigates the parametric identification of thermoelectric modules (TEMs) through the employment of enhanced slime mould algorithm (ESMA). The proposed method incorporates a pair of modifications to the standard slime mould algorithm (SMA). Primary modific...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/42792/1/Parameter%20identification%20of%20thermoelectric%20modules%20using%20enhanced%20slime%20mould%20algorithm.pdf http://umpir.ump.edu.my/id/eprint/42792/ https://doi.org/10.1016/j.rineng.2024.102833 https://doi.org/10.1016/j.rineng.2024.102833 |
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