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Korf, Richard |
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1 - 5
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Space-efficient search algorithms
Korf R. ACM Computing Surveys 27(3): 337-339, 1995. Type: Article
Several search algorithms that provide workable solutions under limited memory constraints are surveyed. Many combinatorial optimization problems and constraint satisfaction problems use heuristic searches whose memory requirement grow...... |
Dec 1 1996 |
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Real-time heuristic search
Korf R. Artificial Intelligence 42(2-3): 189-211, 1990. Type: Article
The author discusses several reasons why a heuristic search algorithm for single-agent problems should not always be run until a solution is found, but instead (as in game-tree search) should be carried out to a specified depth and the...... |
Jan 1 1991 |
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Planning as search: a quantitative approach
Korf R. Artificial Intelligence 33(1): 65-68, 1987. Type: Article
That the state of knowledge in various subfields of artificial intelligence has advanced from qualitative statements to quantitative results is exemplified by the body of results concerning the performance of heuristic search algorithm...... |
Aug 1 1989 |
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Learning to solve problems by searching for macro-operators
Korf R., Pitman Publishing, Inc., Marshfield, MA, 1985. Type: Book (9789780273086901)
The purpose of this monograph (a revised doctoral dissertation) is to describe and demonstrate the derivation and use of efficient macro-operators. Macro-operators serve to automate the solution of problems which are characterized by n...... |
Jul 1 1986 |
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Depth-first iterative-deepening: an optimal admissible tree search
Korf R. Artificial Intelligence 27(1): 97-109, 1985. Type: Article
In this interesting and easy-to-understand paper, the author points out the advantages in using the Depth-First Iterative-Deepening (DFID) approach over the depth-first and breadth-first searches. The DFID method works as follows: Perf...... |
May 1 1986 |
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