# Parallel genetic algorithms for the solution of inverse heat conduction problems

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Guo, Q., Shen, D., Guo, Y. and Lai, Choi-Hong
(2007)
*Parallel genetic algorithms for the solution of inverse heat conduction problems.*
International Journal of Computer Mathematics, 84 (2).
pp. 241-250.
ISSN 0020-7160
(doi:10.1080/00207160601169967)

Official URL: http://www.informaworld.com/smpp/content~db=all~co...

## Abstract

A parallel genetic algorithm (PGA) is proposed for the solution of two-dimensional inverse heat conduction problems involving unknown thermophysical material properties. Experimental results show that the proposed PGA is a feasible and effective optimization tool for inverse heat conduction problems

Item Type: | Article |
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Uncontrolled Keywords: | heat conduction, inverse problem, parallel genetic algorithm |

Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering Q Science > QA Mathematics > QA75 Electronic computers. Computer science |

Pre-2014 Departments: | School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Department of Mathematical Sciences School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group |

Related URLs: | |

Last Modified: | 14 Oct 2016 09:03 |

URI: | http://gala.gre.ac.uk/id/eprint/1144 |

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