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Hybrid backtrack/lookahead search technique for constraint- satisfaction problems

机译:约束满足问题的混合回溯/超前搜索技术

摘要

A method of solving a constraint-satisfaction problem with a data processor includes the steps of (a) providing a search tree structure (10) representing a plurality (N) of variables (X), the search tree structure having a plurality of levels; (b) searching (L) shallow levels of the search tree structure by employing a backtrack search method wherein (L) is less than or equal to a specified value H; and (c) searching (M) remaining, deeper, levels of the search tree structure by employing a lookahead search method. The step of searching (L) shallow levels of the search tree structure includes a step of binding a set of X. sub.1 through X.sub.H variables each to an element from its domain such that no constraints are violated. The step of searching (M) remaining, deeper, levels of the search tree structure includes the steps of, given the bindings for the set of variables X.sub.1 through X.sub.H, determining for each variable X.sub.i, H i≦N a list of feasible values any one of which could be assigned to X.sub.i ; and storing the lists of feasible values in a Feasible.sub.-- Value table data structure.
机译:一种使用数据处理器解决约束满足问题的方法,包括以下步骤:(a)提供表示多个(N)变量(X)的搜索树结构(10),该搜索树结构具有多个级别; (b)通过使用(L)小于或等于指定值H的回溯搜索方法来搜索(L)个搜索树结构的浅层; (c)通过采用超前搜索方法来搜索(M)剩余的,更深的搜索树结构级别。搜索(L)搜索树结构的浅层的步骤包括将一组X.sub.1到X.H变量绑定到来自其域的元素的步骤,这样就不会违反任何约束。搜索(M)搜索树结构的剩余的,更深层次的级别的步骤包括以下步骤:给定变量X1至XH的集合的绑定,为每个变量X确定。 i,H

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