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Numerical experiments with a continuous L-2-exponential merit function for semi-infinite programming

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Abstract(s)

Here, we present some numerical experiments with a reduction method for solving nonlinear semi-infinite programming (SIP) problems. The method relies on a line search technique to ensure a sufficient decrease of a L_2-exponential merit function. The proposed merit function is continuous for SIP and improves the algorithm efficiency when compared with other previously tested merit functions. A comparison with other reduction methods is also included.

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Keywords

Semi-infinite programming Semi-infinite programming reduction method Merit function

Citation

Pereira, Ana I.; Fernandes, Edite M.G.P. (2008). Numerical experiments with a continuous L-2-exponential merit function for semi-infinite programming. In International Electronic Conference on Computer Science. Vol. 1060, p.11-14.

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American Institute of Physics

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