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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
Appears in Collections:JSIR Vol.68(04) [April 2009]

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