Partial Order
نویسنده
چکیده
Ginsberg has recently introduced a polynomial space aggressive dependency directed backtrack search technique. Aggressive dependency directed techniques have the property that the size of the search space generated by a union of disjoint subproblems is proportional to the sum of the search space generated by each problem independently. Earlier polynomial space dependency directed methods did not have this property. This paper presents two additional polynomial space aggressive dependency directed algorithms that allow greater exibility in the use of variable and value ordering heuristics. One of the most important heuristics in constraint satisfaction search involves dynamic rearrangement of the order in which variables are considered. The second procedure presented here, which we call partial order backtracking, allows the order of past variables to be dynamically improved during the search.
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