TY  - JOUR
AU  - Al-Rashid, Xiaoli
AU  - Lee, Ramesh
AU  - Tran, Takeshi
AU  - Karim, Yasmin
TI  - Multi-Objective Optimization Applied to Fluidised-Bed Combustion
JO  - Open Access Journal of Engineering Applications
PY  - 2015
VL  - 39
IS  - 2
SP  - 328
EP  - 345
AB  - The high cost and low efficiency of existing solutions have motivated renewed study of fluidised-bed combustion in remote sensing applications. The performance of the proposed scheme was benchmarked against several conventional techniques using multi-objective optimization. The model predicted fluidised-bed combustion with an average error of less than 25%. The methodology can be readily extended to a broad range of related systems and applications.
KW  - fluidised-bed combustion
KW  - multi-objective optimization
KW  - mimo
KW  - bangladesh
SN  - 3105-7004
DO  - 10.55555/oajea.2015.3902.017
UR  - https://journal.bsaps.com/article/9234
ER  -