An Exact Penalty Global Optimization Approach for Mixed-Integer Programming Problems
AbstractIn this work, we propose a global optimization approach for mixed-integer programming problems. To this aim, we preliminarily define an exact penalty algorithm model for globally solving general problems and we show its convergence properties. Then, we describe a particular version of the algorithm that solves mixed integer problems.
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Bibliographic InfoPaper provided by Department of Computer, Control and Management Engineering, Università degli Studi di Roma "La Sapienza" in its series DIS Technical Reports with number 2010-17.
Date of creation: 2010
Date of revision:
Mixed-Integer Programming; Global Optimization; Exact Penalty Functions;
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