Add to ORKGParallel heuristic search algorithms are widely used in artificial intelligence. This paper describes novel parallel variants of two standard sequential search algorithms, the standard Davis Putnam algorithm (DP); and the same algorithm extended with conflict-directed backjumping (CBJ). Encouraging preliminary results for the GpH parallel dialect of the non-strict functional programming language Haskell suggest that modest real speedup can be achieved for the most interesting hard search cases.</p
Many problems in Artificial Intelligence involve traversing large search-spaces. Such problems typic...
To harness modern multicore processors, it is imperative to develop parallel versions of funda-menta...
The search for solutions in a combinatorially large problem space is a major problem in artificial i...
Parallel heuristic search algorithms are widely used in artificial intelligence. This paper describe...
Combinatorial branch and bound searches are a common technique for solving global optimisation and d...
The role of parallel processing in heuristic search is examined by means of an example (cryptarith...
In this paper, we review parallel search techniques for approximating the global optimal solution of...
Search has been vital to artificial intelligence from the very beginning as a core technique in prob...
Many of the artificial intelligence techniques developed to date rely on heuristic search through la...
Combinatorial search problems in mathematics, e.g. in finite geometry, are notoriously hard; a state...
In this paper, a distributed heuristic search algorithm is presented. We show that the algorithm is ...
Hiermit erkläre ich an Eides sta琀�, dass ich die vorliegende Arbeit selbstständig verfasst und keine...
Heuristic search is a fundamental technique for solving problems in artificial intelligence. However...
International audienceLocal Search metaheuristics are a recognized means of solving hard combinatori...
Abstract: Here we want to represent an introduction about searching algorithms. Due to this, first w...
Many problems in Artificial Intelligence involve traversing large search-spaces. Such problems typic...
To harness modern multicore processors, it is imperative to develop parallel versions of funda-menta...
The search for solutions in a combinatorially large problem space is a major problem in artificial i...
Parallel heuristic search algorithms are widely used in artificial intelligence. This paper describe...
Combinatorial branch and bound searches are a common technique for solving global optimisation and d...
The role of parallel processing in heuristic search is examined by means of an example (cryptarith...
In this paper, we review parallel search techniques for approximating the global optimal solution of...
Search has been vital to artificial intelligence from the very beginning as a core technique in prob...
Many of the artificial intelligence techniques developed to date rely on heuristic search through la...
Combinatorial search problems in mathematics, e.g. in finite geometry, are notoriously hard; a state...
In this paper, a distributed heuristic search algorithm is presented. We show that the algorithm is ...
Hiermit erkläre ich an Eides sta琀�, dass ich die vorliegende Arbeit selbstständig verfasst und keine...
Heuristic search is a fundamental technique for solving problems in artificial intelligence. However...
International audienceLocal Search metaheuristics are a recognized means of solving hard combinatori...
Abstract: Here we want to represent an introduction about searching algorithms. Due to this, first w...
Many problems in Artificial Intelligence involve traversing large search-spaces. Such problems typic...
To harness modern multicore processors, it is imperative to develop parallel versions of funda-menta...
The search for solutions in a combinatorially large problem space is a major problem in artificial i...