Integer and combinatorial optimization
Integer and combinatorial optimization
Solving binary cutting stock problems by column generation and branch-and-bound
Computational Optimization and Applications
The precedence-constrained asymmetric traveling salesman polytope
Mathematical Programming: Series A and B
Strategic directions in constraint programming
ACM Computing Surveys (CSUR) - Special ACM 50th-anniversary issue: strategic directions in computing research
ACM Computing Surveys (CSUR) - Special issue: position statements on strategic directions in computing research
LEDA: a platform for combinatorial and geometric computing
LEDA: a platform for combinatorial and geometric computing
A combinatorial approach to protein docking with flexible side-chains
RECOMB '00 Proceedings of the fourth annual international conference on Computational molecular biology
Software—Practice & Experience - Special issue on discrete algorithm engineering
A Branch & Cut Algorithm for the Asymmetric Traveling Salesman Problem with Precedence Constraints
Computational Optimization and Applications
Traveling Salesman-Based Curve Reconstruction in Polynomial Time
SIAM Journal on Computing
Branch-and-Cut Algorithms for Combinatorial Optimization and Their Implementation in ABACUS
Computational Combinatorial Optimization, Optimal or Provably Near-Optimal Solutions [based on a Spring School]
Branch-And-Price: Column Generation for Solving Huge Integer Programs
Operations Research
Branch and Infer: a Unifying Framework for Integer and Finite Domain Constraint Programming
INFORMS Journal on Computing
Constraint integer programming: a new approach to integrate CP and MIP
CPAIOR'08 Proceedings of the 5th international conference on Integration of AI and OR techniques in constraint programming for combinatorial optimization problems
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We describe a new software system SCIL that introduces symbolic constraints into branch-and-cut-and-price algorithms for integer linear programs. Symbolic constraints are known from constraint programming and contribute significantly to the expressive power, ease of use, and efficiency of constraint programming systems.