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