期刊
JOURNAL OF GLOBAL OPTIMIZATION
卷 59, 期 2-3, 页码 503-526出版社
SPRINGER
DOI: 10.1007/s10898-014-0166-2
关键词
MINLP; Deterministic global optimization; Optimization software; Branch-and-cut
资金
- National Science Foundation [CBET-0827907, DGE-0646086]
- Royal Academy of Engineering Research Fellowship
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 problems from standard libraries and the open literature; we compare ANTIGONE to other state-of-the-art global optimization solvers.
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