A binary constraint, in mathematical optimization, is a constraint that involves exactly two variables.
For example, consider the n-queens problem, where the goal is to place n chess queens on an n-by-n chessboard such that none of the queens can attack each other (horizontally, vertically, or diagonally). The formal set of constraints are therefore "Queen 1 can't attack Queen 2", "Queen 1 can't attack Queen 3", and so on between all pairs of queens. Each constraint in this problem is binary, in that it only considers the placement of two individual queens.[1]
Linear programs in which all constraints are binary can be solved in strongly polynomial time, a result that is not known to be true for more general linear programs.[2]
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Integer Linear Programming | 0-1 Binary Constraints | Examples - Part 1
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Integer Linear Programming | 0-1 Binary Constraints | Examples - Part 2
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Binary Variable Constraint Models
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References
- ^ Marriott, Kim; Stuckey, Peter J. (1998), Programming with Constraints: An Introduction, MIT Press, p. 282, ISBN 9780262133418.
- ^ Megiddo, Nimrod (1983), "Towards a genuinely polynomial algorithm for linear programming", SIAM Journal on Computing, 12 (2): 347–353, CiteSeerX 10.1.1.76.5, doi:10.1137/0212022, MR 0697165.
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This page was last edited on 10 October 2023, at 19:27