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J.F. Schutte, H.P.J. Bolton, C. Erasmus, S. Geyer, A.A. Groenwold, "An Efficient Parallel Global Optimization Infrastructure for Composite Structures", in G. De Roeck, B.H.V. Topping, (Editors), "Identification, Control and Optimisation of Engineering Structures", Civil-Comp Press, Edinburgh, UK, pp 161-168, 2000. doi:10.4203/ccp.72.6.1

Abstract

The optimal design of composite shell structures is addressed using an efficient parallel infrastructure. In the modeling phase, accurate yet inexpensive, 4-node assumed stress flat shell finite elements with drilling degrees of freedom are utilized. During the optimization phase, a new multi-start global optimization algorithm based on multiple local searches is used.

A general global stopping criterion is presented for the global programming problem. Denoted the unified Bayesian global stopping criterion, this criterion can be used in combination with any multi-start search strategy. The criterion relies only on the mild assumption that the probability of convergence to the global optimum is comparable to the probability of convergence to any other local minimum.

The presented infrastructure is suitable for implementation on parallel machines, and parallelisation is shown to be an efficient approach to reduce the apparent computational expense associated with the global programming problem.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 72 IDENTIFICATION, CONTROL AND OPTIMISATION OF ENGINEERING STRUCTURES Edited by: G. De Roeck and B.H.V. Topping Paper VI.1 An Efficient Parallel Global Optimization Infrastructure for Composite Structures J.F. Schutte, H.P.J. Bolton, C. Erasmus, S. Geyer and A.A. Groenwold Department of Mechanical and Aeronautical Engineering, University of Pretoria, Pretoria, South Africa doi:10.4203/ccp.72.6.1 purchase the full-text of this paper Full Bibliographic Reference for this paper J.F. Schutte, H.P.J. Bolton, C. Erasmus, S. Geyer, A.A. Groenwold, "An Efficient Parallel Global Optimization Infrastructure for Composite Structures", in G. De Roeck, B.H.V. Topping, (Editors), "Identification, Control and Optimisation of Engineering Structures", Civil-Comp Press, Edinburgh, UK, pp 161-168, 2000. doi:10.4203/ccp.72.6.1 Abstract The optimal design of composite shell structures is addressed using an efficient parallel infrastructure. In the modeling phase, accurate yet inexpensive, 4-node assumed stress flat shell finite elements with drilling degrees of freedom are utilized. During the optimization phase, a new multi-start global optimization algorithm based on multiple local searches is used. A general global stopping criterion is presented for the global programming problem. Denoted the unified Bayesian global stopping criterion, this criterion can be used in combination with any multi-start search strategy. The criterion relies only on the mild assumption that the probability of convergence to the global optimum is comparable to the probability of convergence to any other local minimum. The presented infrastructure is suitable for implementation on parallel machines, and parallelisation is shown to be an efficient approach to reduce the apparent computational expense associated with the global programming problem. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £50 +P&P)
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