In recent years, numerous new backtracking algorithms have been proposed. The algorithms are usually evaluated by empirical testing. This method, however, has its limitations. Our thesis adopts a different, purely theoretical approach, which is based on characterizations of the sets of search tree nodes visited by the backtracking algorithms. A new notion of inconsistency between instantiations and variables is introduced, a useful tool for describing such well-known concepts as backtrack, backjump, and domain annihilation. The characterizations enable us to: (a) prove the correctness of the algorithms, and (b) partially order the algorithms according to two standard performance measures: the number of visited nodes, and the number of perfo...
This paper addresses the following question: what is the es-sential difference between stochastic lo...
AbstractThe performance of backtracking algorithms for solving finite-domain constraint satisfaction...
This paper addresses the following question: what is the essential difference between stochastic loc...
In recent years numerous new backtracking algorithms have been proposed The algorithms are usually...
In recent years, many new backtracking algorithms for solving constraint satisfaction problems have ...
AbstractIn recent years, many new backtracking algorithms for solving constraint satisfaction proble...
AbstractConflict-directed backjumping is a modification of the backtracking algorithm that can outpe...
In recent years, many improvements to backtracking algorithms for solving constraint satisfaction pr...
In recent years, many improvements to backtracking algorithms for solving constraint satisfaction pr...
wikipedia1: Backtracking is a general algorithm for finding all (or some) solutions to some computat...
Consider an infinite binary search tree in which the branches have independent random costs. Suppose...
The performance of backtracking algorithms for solving nite-domain constraint sat-isfaction problems...
It is known that isolated executions of parallel backtrack search exhibit speedup anomalies. In this...
Many practical problems in Artificial Intelligence have search trees that are too large to search ex...
Abstract. The forward checking algorithm for solving constraint satisfaction problems is a popular a...
This paper addresses the following question: what is the es-sential difference between stochastic lo...
AbstractThe performance of backtracking algorithms for solving finite-domain constraint satisfaction...
This paper addresses the following question: what is the essential difference between stochastic loc...
In recent years numerous new backtracking algorithms have been proposed The algorithms are usually...
In recent years, many new backtracking algorithms for solving constraint satisfaction problems have ...
AbstractIn recent years, many new backtracking algorithms for solving constraint satisfaction proble...
AbstractConflict-directed backjumping is a modification of the backtracking algorithm that can outpe...
In recent years, many improvements to backtracking algorithms for solving constraint satisfaction pr...
In recent years, many improvements to backtracking algorithms for solving constraint satisfaction pr...
wikipedia1: Backtracking is a general algorithm for finding all (or some) solutions to some computat...
Consider an infinite binary search tree in which the branches have independent random costs. Suppose...
The performance of backtracking algorithms for solving nite-domain constraint sat-isfaction problems...
It is known that isolated executions of parallel backtrack search exhibit speedup anomalies. In this...
Many practical problems in Artificial Intelligence have search trees that are too large to search ex...
Abstract. The forward checking algorithm for solving constraint satisfaction problems is a popular a...
This paper addresses the following question: what is the es-sential difference between stochastic lo...
AbstractThe performance of backtracking algorithms for solving finite-domain constraint satisfaction...
This paper addresses the following question: what is the essential difference between stochastic loc...