Solving Large Airline Crew Scheduling Problems: Random Pairing Generation and Strong Branching
Computational Optimization and Applications
An Optimisation Algorithm for Maximum Independent Set with Applications in Map Labelling
ESA '99 Proceedings of the 7th Annual European Symposium on Algorithms
ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
An effective approach for test-sheet composition with large-scale item banks
Computers & Education
Enumeration of Pareto Optima for a Flowshop Scheduling Problem with Two Criteria
INFORMS Journal on Computing
Mixed-integer nonlinear programming: some modeling and solution issues
IBM Journal of Research and Development - Business optimization
A class of multi-level balanced Foundation-Penalty cuts for mixed-integer programs
International Journal of Computational Science and Engineering
Computers and Operations Research
An effective approach for test-sheet composition with large-scale item banks
Computers & Education
Faster MIP solutions via new node selection rules
Computers and Operations Research
Computing with multi-row gomory cuts
IPCO'08 Proceedings of the 13th international conference on Integer programming and combinatorial optimization
FilMINT: An Outer Approximation-Based Solver for Convex Mixed-Integer Nonlinear Programs
INFORMS Journal on Computing
On the Complexity of Selecting Disjunctions in Integer Programming
SIAM Journal on Optimization
Improved core problem based heuristics for the 0/1 multi-dimensional knapsack problem
Computers and Operations Research
IPCO'10 Proceedings of the 14th international conference on Integer Programming and Combinatorial Optimization
Exact solutions to linear programming problems
Operations Research Letters
Information-theoretic approaches to branching in search
Discrete Optimization
An algorithmic framework for convex mixed integer nonlinear programs
Discrete Optimization
An improved algorithm for computing Steiner minimal trees in Euclidean d-space
Discrete Optimization
Foundation-penalty cuts for mixed-integer programs
Operations Research Letters
Operations Research Letters
Journal of Network and Computer Applications
On branching rules for convex mixed-integer nonlinear optimization
Journal of Experimental Algorithmics (JEA)
INFORMS Journal on Computing
Learning Bayesian network structure: Towards the essential graph by integer linear programming tools
International Journal of Approximate Reasoning
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The branch-and-bound procedure for solving mixed integer programming (MIP) problems using linear programming relaxations has been used with great success for decades. Over the years, a variety of researchers have studied ways of making the basic algorithm more effective. Breakthroughs in the fields of computer hardware, computer software, and mathematics have led to increasing success at solving larger and larger MIP instances. The goal of this article is to survey many of the results regarding branch-and-bound search strategies and evaluate them again in light of the other advances that have taken place over the years. In addition, novel search strategies are presented and shown to often perform better than those currently used in practice.