Computer Science – Artificial Intelligence
Scientific paper
2009-03-06
ECAI 2006, 168-172
Computer Science
Artificial Intelligence
17th European Conference on Artificial Intelligence
Scientific paper
We present a comprehensive study of the use of value precedence constraints to break value symmetry. We first give a simple encoding of value precedence into ternary constraints that is both efficient and effective at breaking symmetry. We then extend value precedence to deal with a number of generalizations like wreath value and partial interchangeability. We also show that value precedence is closely related to lexicographical ordering. Finally, we consider the interaction between value precedence and symmetry breaking constraints for variable symmetries.
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