Parameter identification of thermoelectric modules using enhanced slime mould algorithm (ESMA)

• Main Authors: Ponnalagu, Dharswini, Mohd Ashraf, Ahmad, Jui, Julakha Jahan
• Format: Article
• Language: English
• Published: Elsevier B.V. 2024
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• 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

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...