A Parametric Linearization Approach for Solving Zero-One Nonlinear Programming Problems

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DOI: 10.4236/am.2011.210168   PDF   HTML     3,870 Downloads   7,159 Views   Citations

Abstract

In this paper a new approach for obtaining an approximation global optimum solution of zero-one nonlinear programming (0-1 NP) problem which we call it Parametric Linearization Approach (P.L.A) is proposed. By using this approach the problem is transformed to a sequence of linear programming problems. The approximately solution of the original 0-1 NP problem is obtained based on the optimum values of the objective functions of this sequence of linear programming problems defined by (P.L.A).

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A. Vaziri, A. Kamyad and S. Efatti, "A Parametric Linearization Approach for Solving Zero-One Nonlinear Programming Problems," Applied Mathematics, Vol. 2 No. 10, 2011, pp. 1207-1212. doi: 10.4236/am.2011.210168.

Conflicts of Interest

The authors declare no conflicts of interest.

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