THERMAL SCIENCE

International Scientific Journal

Authors of this Paper

External Links

THERMAL CONTROL SYSTEM BASED ON ANT COLONY ALGORITHM

ABSTRACT
In order to improve the accuracy and speed of solving the inverse problem of source-seeking heat conduction, the paper proposes a correlation-based ant colony optimization algorithm for the inverse problem of source-seeking heat conduction based on the characteristics of the influence of the heat source position on the boundary temperature distribution in the heat conduction problem. This method is used to construct the corresponding heuristic information value for each co-ordinate of the heat source location, which can reflect the degree of similarity between the temperature curve of the calculated measuring point and the temperature curve of the real measuring point, namely the correlation degree. The ant colony optimization algorithm the medium path selection mechanism and the structure of the objective function have been improved. The paper replaces the actual experiment with numerical calculation obtain the temperature of the measuring point, and performs computer programming experiment on the inverse problem. The calculation results show that the calibration method of this heuristic information value and the objective function the construction method can distinguish the quality of the path well, thereby increasing the speed of the ant colony converging to the best path. The computational efficiency is improved by 18-60% compared with the ant colony algorithm that does not consider the correlation.
KEYWORDS
PAPER SUBMITTED: 2020-12-23
PAPER REVISED: 2021-01-26
PAPER ACCEPTED: 2021-02-07
PUBLISHED ONLINE: 2021-07-31
DOI REFERENCE: https://doi.org/10.2298/TSCI2104179Z
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2021, VOLUME 25, ISSUE Issue 4, PAGES [3179 - 3189]
REFERENCES
  1. Dorigo, M., Optimization, Learning and Natural Algorithms, Ph. D. thesis, Politecnico di Milano, Milano, Italy, 1992
  2. Bhadoria, A., Kamboj, V. K., Optimal Generation Scheduling and Dispatch of Thermal Generating Units Considering Impact of Wind Penetration Using hGWO-RES Algorithm, Applied Intelligence, 49 (2019), 4, pp.1517-1547
  3. Li, B., et al., Thermal Error Modelling of Machine Tool Spindle Based on the Improved Algorithm Optimized BP Neural Network, The International Journal of Advanced Manufacturing Technology, 105 (2019), 1, pp. 1497-1505
  4. Yao, X., et al., Thermal Error Modelling and Prediction Analysis Based on OM Algorithm for Machine Tool's Spindle, The International Journal of Advanced Manufacturing Technology, 106 (2020), 7, pp. 3345-3356
  5. Wu, S., Construction of Visual 3-D Fabric Reinforced Composite Thermal Perfomance Prediction System, Thermal Science, 23 (2019), 5, pp. 2857-2865
  6. Robert, L. R., Singh, L. R. S. R., Economic Emission Dispatch of Hydro-Thermal-Wind Using CMQLSPSN Technique, IET Renewable Power Generation, 14 (2020), 14, pp. 2680-2692
  7. Bhatt, R., et al., Performance Analysis of WOA Optimised PID Controllers for LFC of Interconnected Thermal Power Systems, International Journal of Computational Systems Engineering, 5 (2019), 3, pp. 179-192.
  8. Liu, T., et al., Integrated CS Optimization and OLS for Recurrent Neural Network in Modelling MicroWave Thermal Process, Neural Computing and Applications, 32 (2020), 16, pp. 12267-12280
  9. Xu, J., et al., Finite Element Simulation of Prevention Thermal Cracking in Mass Concrete, International Journal of Computing Science and Mathematics, 10 (2019), 4, pp. 327-339
  10. Wu, S., Study and Evaluation of Clustering Algorithm for Solubility and Thermodynamic Data of Glycerol Derivatives, Thermal Science, 23 (2019), 5, pp. 2867-2875
  11. He, R., et al., Multi-Objective Performance Optimization of ORC Cycle Based on Improved ant Colony Algorithm, Open Physics, 17 (2019), 1, pp. 48-59

© 2022 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence