SWIFT - A new constrained optimization technique (Sequential Weight Increasing Factor Technique for nonlinear programming)

Sheela, BV and Ramamoorthy, P (1975) SWIFT - A new constrained optimization technique (Sequential Weight Increasing Factor Technique for nonlinear programming). Computer Methods in Applied Mechanics and Engineering, 6 (3). pp. 309-317. ISSN 0045-7825

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    Abstract

    A new technique for constrained optimization called SWIFT (Sequential Weight Increasing Factor Technique) is presented and compared with some test problems available in the literature. This procedure uses an improved flexible polyhedron method as the basic algorithm for unconstrained optimization. SWIFT significantly differs from existing constrained optimization techniques in the way it penalizes the objective function. This has brought about extreme simplification, elegance and fast convergence to the problem of constrained optimization.

    Item Type: Journal Article
    Additional Information: Copyright for this article belongs to Elsevier Science Publishing Co
    Uncontrolled Keywords: Computer programs;Nonlinear programming;Optimisations;Constraints;Function space;Weighting functions
    Subjects: MATHEMATICAL AND COMPUTER SCIENCES > Computer Programming and Software
    Division/Department: Aerodynamics, Aerodynamics
    Depositing User: M/S ICAST NAL
    Date Deposited: 11 Feb 2010
    Last Modified: 07 May 2012 10:58
    URI: http://nal-ir.nal.res.in/id/eprint/3881

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