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:https://doi.org/10.1080/00207160601169967)

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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
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:	Publisher Organisation Organisation
Last Modified:	14 Oct 2016 09:03
URI:	http://gala.gre.ac.uk/id/eprint/1144

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