A storm of feasibility pumps for nonconvex MINLP
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Publication:1925794
DOI10.1007/s10107-012-0608-xzbMath1257.90056OpenAlexW1967559983WikidataQ118165459 ScholiaQ118165459MaRDI QIDQ1925794
Leo Liberti, Andrea Lodi, Claudia D'Ambrosio, Antonio Frangioni
Publication date: 19 December 2012
Published in: Mathematical Programming. Series A. Series B (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10107-012-0608-x
Mixed integer programming (90C11) Nonconvex programming, global optimization (90C26) Approximation methods and heuristics in mathematical programming (90C59)
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Cites Work
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- A Modeling Language for Mathematical Programming
- A recipe for finding good solutions to MINLPs
- On interval-subgradient and no-good cuts
- A feasibility pump for mixed integer nonlinear programs
- Solving mixed integer nonlinear programs by outer approximation
- Rounding-based heuristics for nonconvex MINLPS
- On the convergence of the block nonlinear Gauss-Seidel method under convex constraints
- Undercover: a primal MINLP heuristic exploring a largest sub-MIP
- Improving the feasibility pump
- The feasibility pump
- MINLPLib—A Collection of Test Models for Mixed-Integer Nonlinear Programming
- Proximal Alternating Minimization and Projection Methods for Nonconvex Problems: An Approach Based on the Kurdyka-Łojasiewicz Inequality
- Branching and bounds tighteningtechniques for non-convex MINLP
- An outer-approximation algorithm for a class of mixed-integer nonlinear programs
- On Finitely Terminating Branch-and-Bound Algorithms for Some Global Optimization Problems
- On Projection Algorithms for Solving Convex Feasibility Problems
- Convergence Analysis of Deflected Conditional Approximate Subgradient Methods
- Canonical Cuts on the Unit Hypercube
- The Reformulation-Optimization Software Engine
- Functional Operators (AM-21), Volume 1
- Convex analysis and global optimization
- Variable neighborhood search: Principles and applications
- Convergence of a block coordinate descent method for nondifferentiable minimization