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JSIR Vol.68 [2009] >
JSIR Vol.68(04) [April 2009] >
| Title: | Heuristic search by guided enforced hill climbing in fast forward automated planning |
| Authors: | Akramifar, Seyed Ali
Ghasem-Sani, Gholamreza |
| Keywords: | AI planning
Artificial Intelligence
Enforced hill climbing
Heuristic search |
| Issue Date: | 2009 |
| Publisher: | CSIR |
| Abstract: | Enforced hill climbing (EHC), a heuristicaa search method, has been frequently used in a number of AI planning systems.
This paper presents a new form of EHC, guided enforced hill climbing (GEHC), to enhance EHC efficiency. Main feature in
GEHC is an adaptive ordering function. GEHC has shown a significant improvement in EHC efficiency, especially when applied to larger problems. |
| Page(s): | 278-284 |
| ISSN: | 0022-4456 |
| Source: | JSIR Vol.68(04) [April 2009]
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