Multi-Objective Optimization Applied to Fluidised-Bed Combustion

Xiaoli Al-Rashid, Ramesh Lee, Takeshi Tran, Yasmin Karim

Open Access Journal of Engineering Applications · doi:10.55555/oajea.2015.3902.017

1. Introduction

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.

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2. Materials and Methods

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3. Results and Discussion

Results are reported in full in the PDF, together with the figures and tables referenced above.

4. Conclusion

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