A memory-based heuristic is a function, h(s), stored in the form of a lookup table (pattern database): h(s) is computed by mapping s to an index and then retrieving the appropriate entry in the table. (Korf 1997) conjectures for search using memory-based heuristics that m ̄ t is a constant, where m is the size of the heuristic’s lookup ta-ble and t is search time. In this paper we present a method for automatically generating memory-based heuristics and use this to test Korf’s con-jecture in a large-scale experiment. Our results confirm that there is a direct relationship between m and t
The performance of a new heuristic search algorithm is analyzed in this paper. The algorithm uses a ...
The quality of solution provided by a search heuristic on a particular problem is by no means an abs...
Machine Learning Techniques, properly combined with Data Structures, have resulted in Learned Static...
Abstract. A memory-based heuristic is a function, h(s), stored in the form of a lookup table: h(s) i...
Our goal is to automatically generate heuristics to guide state space search. The heuristic values a...
This paper presents heuristic search algorithms which work within memory constraints. These algorith...
A pattern database (PDB) is a heuristic function stored as a lookup table. This paper considers how ...
Many searching problems allow time-memory tradeoffs. That is, if there are K possible solutions to s...
AbstractA pattern database (PDB) is a heuristic function stored as a lookup table. This paper consid...
Heuristic search algorithms (eg. A* and IDA*) with accurate lower bounds can solve impressively larg...
Heuristic search is a fundamental technique for solving problems in artificial intelligence. However...
A promising approach to solving large state-space search problems is to integrate heuristic search w...
Abstract—Recent real-time heuristic search algorithms have demonstrated outstanding performance in v...
With increasing size of sequence databases heuristic search approaches have become necessary. Hidden...
Our goal is to automatically generate heuristics to guide state space search. Our heuristics are def...
The performance of a new heuristic search algorithm is analyzed in this paper. The algorithm uses a ...
The quality of solution provided by a search heuristic on a particular problem is by no means an abs...
Machine Learning Techniques, properly combined with Data Structures, have resulted in Learned Static...
Abstract. A memory-based heuristic is a function, h(s), stored in the form of a lookup table: h(s) i...
Our goal is to automatically generate heuristics to guide state space search. The heuristic values a...
This paper presents heuristic search algorithms which work within memory constraints. These algorith...
A pattern database (PDB) is a heuristic function stored as a lookup table. This paper considers how ...
Many searching problems allow time-memory tradeoffs. That is, if there are K possible solutions to s...
AbstractA pattern database (PDB) is a heuristic function stored as a lookup table. This paper consid...
Heuristic search algorithms (eg. A* and IDA*) with accurate lower bounds can solve impressively larg...
Heuristic search is a fundamental technique for solving problems in artificial intelligence. However...
A promising approach to solving large state-space search problems is to integrate heuristic search w...
Abstract—Recent real-time heuristic search algorithms have demonstrated outstanding performance in v...
With increasing size of sequence databases heuristic search approaches have become necessary. Hidden...
Our goal is to automatically generate heuristics to guide state space search. Our heuristics are def...
The performance of a new heuristic search algorithm is analyzed in this paper. The algorithm uses a ...
The quality of solution provided by a search heuristic on a particular problem is by no means an abs...
Machine Learning Techniques, properly combined with Data Structures, have resulted in Learned Static...