DocumentCode
592694
Title
An approach to action planning based on Simulated Annealing
Author
Basilio Junior, R.R. ; Lopes, Carlos R.
Author_Institution
PPGCC-Fac. de Comput., Univ. Fed. de Uberlandia (UFU), Uberlândia, Brazil
fYear
2012
fDate
1-5 Oct. 2012
Firstpage
1
Lastpage
7
Abstract
A number of new heuristic search methods have been developed in the field of automated planning over the last years. Enforced Hill-Climbing (EHC) is a method that has been frequently used in several AI planning systems. This method presents a better performance compared to other methods in many planning domains, but it has some weaknesses. In this paper, we investigate the use of Simulated Annealing in planners. In the experiments, this method shows significant results compared to a planner based on EHC.
Keywords
planning (artificial intelligence); simulated annealing; AI planning systems; EHC; action planning; automated planning; enforced hill-climbing method; heuristic search methods; simulated annealing; Logistics; Planning; Satellites; Search problems; Silicon; Simulated annealing; Enforced Hill-Climbing; Fast Forward; Simulated Annealing; ia planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Informatica (CLEI), 2012 XXXVIII Conferencia Latinoamericana En
Conference_Location
Medellin
Print_ISBN
978-1-4673-0794-9
Type
conf
DOI
10.1109/CLEI.2012.6427156
Filename
6427156
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