Abstract
In an earlier paper [1] 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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
