Guided dive for the spatial branch-and-bound
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Publication:1675571
DOI10.1007/s10898-017-0503-3zbMath1379.90028OpenAlexW2590825195MaRDI QIDQ1675571
Quentin Louveaux, David Gerard, Matthias Köppe
Publication date: 2 November 2017
Published in: Journal of Global Optimization (Search for Journal in Brave)
Full work available at URL: http://orbi.ulg.ac.be/handle/2268/208826
Polyhedral combinatorics, branch-and-bound, branch-and-cut (90C57) Nonconvex programming, global optimization (90C26)
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Cites Work
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- A recipe for finding good solutions to MINLPs
- Variable neighborhood search
- Local branching
- Rounding-based heuristics for nonconvex MINLPS
- Exploring relaxation induced neighborhoods to improve MIP solutions
- A polyhedral branch-and-cut approach to global optimization
- Advanced techniques for clearance of flight control laws
- Convexification and global optimization in continuous and mixed-integer nonlinear programming. Theory, algorithms, software, and applications
- Construction of convex relaxations using automated code generation techniques
- ANTIGONE: algorithms for coNTinuous/Integer global optimization of nonlinear equations
- Validation of nominations in gas network optimization: models, methods, and solutions
- Branching and bounds tighteningtechniques for non-convex MINLP
- The global solver in the LINDO API
- Efficient Nonlinear Programming Algorithms for Chemical Process Control and Operations
- A Trust Region Algorithm for Nonlinearly Constrained Optimization
- The travelling salesman problem with neighbourhoods: MINLP solution
- Nonlinear Programming
- Complete search in continuous global optimization and constraint satisfaction
- Combinatorial and Continuous Models for the Optimization of Traffic Flows on Networks
- Nonlinear programming without a penalty function.