Parallel genetic algorithms for the solution of inverse heat conduction problems

International Journal of Computer Mathematics

Volumn 84, Issue 2, 2007, Pages 241-249

  Guo, Q ^a   Shen, D ^b   Guo, Y ^a   Lai, C H ^c  

^a WUHAN UNIVERSITY OF TECHNOLOGY   (China)

^b XIAOGAN UNIVERSITY   (China)

^c UNIVERSITY OF GREENWICH   (United Kingdom)

Author keywords

Heat conduction; Inverse problem; Parallel genetic algorithm

Indexed keywords

GENETIC ALGORITHMS; HEAT CONDUCTION; INVERSE PROBLEMS; OPTIMIZATION; PROBLEM SOLVING; THERMODYNAMIC PROPERTIES;

INVERSE HEAT CONDUCTION PROBLEMS; PARALLEL GENETIC ALGORITHM;

PARALLEL ALGORITHMS;

EID: 34249085361     PISSN: 00207160     EISSN: 10290265     Source Type: Journal    
DOI: 10.1080/00207160601169967     Document Type: Conference Paper

References (14)

1. Stolz, G.J., 1960, Numerical solution to an inverse problem of heat conduction for simple shapes. ASME Journal of Heat Transfer, 82C, 20-26.
2. Yu, C., 1982, The inverse problem of heat conduction in calculation of the thermophysical properties. Journal of Engineering Thermophysics, 3, 372-378.
3. Yang, G.Z. and Zabaras, N., 1998, The adjoint method for an inverse design problem in the directional solidification of binary alloys. Journal of Computational Physics, 140, 432-452.
4. Sampath, R. and Zabaras, N., 2000, An object-oriented framework for the implementation of adjoint techniques in the design and control of complex continuum systems. International Journal for Numerical Methods in Engineering, 48, 239-266.
5. Louis, A.K., 1998, Constructing an approximate inverse for linear and some nonlinear problems in engineering. In: D. Delaunay, Y. Jarug and K.A. Woodbury (Eds) Inverse Problems in Engineering, Theory and Practice, pp. 367-374 (New York: American Society of Mechanical Engineers).
6. Yang, G.Z. and Zabaras, N., 1998, The adjoint method for an inverse design problem in the directional solidification of binary alloys. Journal of Computational Physics, 140, 432-452.
7. Andre, D. and Koza, J.R., 1998, A parallel implementation of genetic programming that achieves super-linear performance. Journal of Information Science, 106, 201-218.
8. Sun, J., 1997, Network Parallel Computing (Beijing: Science Press).
9. Guo, Q., Parker, Y., Xiao, J. and Parkinson, D., 2000, Performance evaluation of PVM on PC-LAN distributed computing. In: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA 2000), Vol. 4, pp. 1947-1953.
10. Shao, C. and Wu, X., 1997, Application of an improved genetic algorithm in address selection for multi-heat sources. Journal of Nanjing Institute of Posts and Telecommunications, 17, 98-102.
11. Jiang, H., Zhang, R. and Zhang, S., 1998, Apply genetic algorithm to determine parameters in equation of state. Chinese Journal of High Pressure Physics, 12, 47-53.
12. Guo, Q., Parker, Y., Zhang, S., Parkinson, D. and Wei, J., 2000, Optimum tactics of parallel multi-grid algorithm with virtual boundary forecast method running on a local network with the PVM platform. Journal of Computer Science and Technology, 2000, 15, 355-359.
13. Guo, Q.P. and Lai, C.-H., 2004, A hybrid method for the update of sub-domain interfaces. In: DCABES 2004 Proceedings, pp. 298-302 (Wuhan: Hubei Science and Technology Press).
14. Guo, Q., Zhang, S., Parker, Y. and Parkinson, D., 2000, Parallel multi-grid algorithm with virtual boundary forecast domain decomposition method for solving non-linear heat transfer equations. High Performance Computing and Networking Proceedings, 1823, 568-571.