Parallel processing, neural networks and genetic algorithms

B. H V Topping, J. Sziveri, A. Bahreinejad, J. P B Leite, B. Cheng

Research output: Contribution to journalArticlepeer-review

45 Citations (Scopus)


In an earlier paper1 some recent developments in computational technology to structural engineering were described. The developments included: parallel and distributed computing; neural networks; and genetic algorithms. In this paper, the authors concentrate on parallel implementations of neural networks and genetic algorithms. In the final section of the paper the authors show how a parallel finite element analysis may be undertaken in an efficient manner by preprocessing of the finite element model using a genetic algorithm utilizing a neural network predictor. This preprocessing is the partitioning of the finite element mesh into sub-domains to ensure load balancing and minimum interprocessor communication during the parallel finite element analysis on a MIMD distributed memory computer. © 1998 Published by Elsevier Science Limited. All rights reserved.

Original languageEnglish
Pages (from-to)763-786
Number of pages24
JournalAdvances in Engineering Software
Issue number10
Publication statusPublished - Dec 1998


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