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

Tools

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 |
---|---|

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 |

School / Department / Research Groups: | 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: | 31 Mar 2011 18:20 |

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

### Actions (login required)

View Item |