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A hybrid nonlinear programming method for design optimizationSolutions to engineering design problems formulated as nonlinear programming (NLP) problems usually require the use of more than one optimization technique. Moreover, the interaction between the user (analysis/synthesis) program and the NLP system can lead to interface, scaling, or convergence problems. An NLP solution system is presented that seeks to solve these problems by providing a programming system to ease the user-system interface. A simple set of rules is used to select an optimization technique or to switch from one technique to another in an attempt to detect, diagnose, and solve some potential problems. Numerical examples involving finite element based optimal design of space trusses and rotor bearing systems are used to illustrate the applicability of the proposed methodology.
Document ID
19870048444
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Rajan, S. D.
(Arizona State University Tempe, United States)
Date Acquired
August 13, 2013
Publication Date
January 1, 1986
Publication Information
Publication: Journal of Structural Mechanics
Volume: 14
Issue: 4 19
ISSN: 0360-1218
Subject Category
Computer Programming And Software
Accession Number
87A35718
Funding Number(s)
CONTRACT_GRANT: NAG3-580
Distribution Limits
Public
Copyright
Other

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