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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 37
INFORMATION PROCESSING IN CIVIL AND STRUCTURAL ENGINEERING DESIGN
Edited by: B. Kumar
Paper VIII.2

Parallel Processing, Neural Networks and Genetic Algorithms: Revisited

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

Department of Mechanical and Chemical Engineering, Heriot-Watt University, Edinburgh, United Kingdom

Full Bibliographic Reference for this paper
B.H.V. Topping, J. Sziveri, A. Bahreininejad, J.B.P. Leite, B. Cheng, "Parallel Processing, Neural Networks and Genetic Algorithms: Revisited", in B. Kumar, (Editor), "Information Processing in Civil and Structural Engineering Design", Civil-Comp Press, Edinburgh, UK, pp 197-218, 1996. doi:10.4203/ccp.37.8.2
Abstract
In an earlier paper 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 t he 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 utilising a neural network predictor. This preprocessing is the partitioning of the finite element mesh into subdomains to ensure load balancing and minimum interprocessor communication during the parallel finite element analysis on a MIMD distributed memory computer.

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