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Exact Penalty Functions for Nonlinear Integer Programming Problems

Author

Listed:
  • Stefano Lucidi

    (Dipartimento di Informatica e Sistemistica Sapienza Universita' di Roma Via Ariosto, 25 - 00185 Roma - Italy)

  • Francesco Rinaldi

    (Dipartimento di Informatica e Sistemistica Sapienza Universita' di Roma Via Ariosto, 25 - 00185 Roma - Italy)

Abstract
In this work, we study exact continuous reformulations of nonlinear integer programming problems. To this aim, we preliminarily state conditions to guarantee the equivalence between pairs of general nonlinear problems. Then, we prove that optimal solutions of a nonlinear integer programming problem can be obtained by using various exact penalty formulations of the original problem in a continuous space.

Suggested Citation

  • Stefano Lucidi & Francesco Rinaldi, 2009. "Exact Penalty Functions for Nonlinear Integer Programming Problems," DIS Technical Reports 2009-10, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    • Handle: RePEc:aeg:wpaper:2009-10
    as

    Download full text from publisher

    File URL: http://www.dis.uniroma1.it/~bibdis/RePEc/aeg/wpaper/2009-10.pdf
    File Function: First version, 2009
    Download Restriction: no
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    References listed on IDEAS

    as
    1. Panos M Pardalos & Oleg A Prokopyev & Stanislav Busygin, 2006. "Continuous Approaches for Solving Discrete Optimization Problems," International Series in Operations Research & Management Science, in: Gautam Appa & Leonidas Pitsoulis & H. Paul Williams (ed.), Handbook on Modelling for Discrete Optimization, chapter 0, pages 39-60, Springer.
    Full references (including those not matched with items on IDEAS)

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