Heuristic search by guided enforced hill climbing in fast forward automated planning
IR@NISCAIR: CSIR-NISCAIR, New Delhi - ONLINE PERIODICALS REPOSITORY (NOPR)
View Archive Info| Field | Value | |
| Creator |
Akramifar, Seyed Ali
Ghasem-Sani, Gholamreza |
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| Date |
2009-03-30T06:13:37Z
2009-03-30T06:13:37Z 2009 |
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| Identifier |
0022-4456
http://hdl.handle.net/123456789/3484 |
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| Description |
278-284
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. |
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| Language |
en_US
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| Publisher |
CSIR
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| Source |
JSIR Vol.68(04) [April 2009]
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| Subject |
AI planning
Artificial Intelligence Enforced hill climbing Heuristic search |
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| Title |
Heuristic search by guided enforced hill climbing in fast forward automated planning
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| Type |
Article
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