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

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 purp...

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Vydáno v:Journal of global optimization Ročník 59; číslo 2-3; s. 503 - 526
Hlavní autoři: Misener, Ruth, Floudas, Christodoulos A.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Boston Springer US 01.07.2014
Springer
Springer Nature B.V
Témata:
Algorithms
Approximation
Computation
Computer Science
Evolution
Inheritances
Integers
Libraries
Mathematics
Mathematics and Statistics
Nonlinear equations
Operations Research/Decision Theory
Optimization
Real Functions
Scholarships & fellowships
Software
Solvers
Studies
Texts
Variables
Optimization software
MINLP
Branch-and-cut
Deterministic global optimization
ISSN:0925-5001, 1573-2916
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Shrnutí: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 problems from standard libraries and the open literature; we compare ANTIGONE to other state-of-the-art global optimization solvers.
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ISSN:0925-5001
1573-2916
DOI:10.1007/s10898-014-0166-2