ANTIGONE: Algorithms for coNTinuous / Integer Global Optimization of Nonlinear Equations

Ruth Misener and Christodoulos Floudas ()

Journal of Global Optimization, 2014, vol. 59, issue 2, 503-526

Abstract: This manuscript introduces ANTIGONE, Algorithms for coNTinuous/Integer Global Optimization of Nonlinear Equations, a general mixed-integer nonlinear global optimization framework. ANTIGONE is the evolution of the Global Mixed-Integer Quadratic Optimizer, GloMIQO, to general nonconvex terms. The purpose of this paper is to show how the extensible structure of ANTIGONE realizes our previously-proposed mixed-integer quadratically-constrained quadratic program and mixed-integer signomial optimization computational frameworks. To demonstrate the capacity of ANTIGONE, this paper presents computational results on a test suite of $$2{,}571$$ 2 , 571 problems from standard libraries and the open literature; we compare ANTIGONE to other state-of-the-art global optimization solvers. Copyright Springer Science+Business Media New York 2014

Keywords: MINLP; Deterministic global optimization; Optimization software; Branch-and-cut (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (40)

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DOI: 10.1007/s10898-014-0166-2

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