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Nonlinear programming by cumulative approximation refinement

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Abstract

A mathematical programming method particularly suited for structural and multidisciplinary optimization problems is presented. It is based on the idea that all available information about the problem should be used in the attempt to obtain rapid convergence. Thus, it uses information from previous iterations to produce steadily improving approximations of the implicit objective and constraint functions of the problem. In some cases, this creates a response surface type of approximation. The ability of the method to store known information about the behaviour of the problem makes it well-suited for practical multidisciplinary optimization.

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References

  • Arora, J.S. 1989:Introduction to optimum design. New York: McGraw-Hill

    Google Scholar 

  • Barthelemy, J.-F.M.; Haftka, R.T. 1993: Approximation concepts for optimum structural design — a review.Struct. Optim. 5, 129–144

    Google Scholar 

  • Esping, B. 1986: The OASIS structural optimization system.Comp. & Struct. 23, 365–377

    Google Scholar 

  • Farin, G. 1990:Curves and surfaces for computer aided geometrical design (2nd edition). New York: Academic Press

    Google Scholar 

  • Fleury, C. 1986: Structural optimization: a new dual method using mixed variables.Int. J. Num. Meth. Eng. 23, 409–428

    Google Scholar 

  • Fröberg, C.-E. 1966:Introduction to numerical analysis. Reading, MA: Addison-Wesley

    Google Scholar 

  • Mortensson, M.E. 1985:Geometric modeling. New York: John Wiley and Sons

    Google Scholar 

  • Rasmussen, J. 1990a: The structural optimization system CAOS.Struct. Optim. 2, 109–116

    Google Scholar 

  • Rasmussen, J. 1990b: Structural optimization by accumulated function approximation.Report 20, Inst. of Mechanical Engineering, Aalborg University

  • Svanberg, K. 1987: The method of moving asymptotes — a new method for structural optimization.Int. J. Num. Meth. Eng. 24, 359–373

    Google Scholar 

  • Vanderplaats, G.N. 1984:Numerical optimization techniques for engineering design. New York: McGraw-Hill

    Google Scholar 

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Rasmussen, J. Nonlinear programming by cumulative approximation refinement. Structural Optimization 15, 1–7 (1998). https://doi.org/10.1007/BF01197431

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  • DOI: https://doi.org/10.1007/BF01197431

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