An approach to Action Planning Based on Simulated Annealing

被引：0
作者：
Basilio Junior, Ricardo Rames [1 ]
Lopes, Carlos Roberto [1 ]
机构：
[1] Univ Fed Uberlandia, PPGCC Fac Comp, BR-38400 Uberlandia, MG, Brazil
来源：
PROCEEDINGS 2012 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) | 2012年
关键词：
Fast Forward; Simulated Annealing; Enforced Hill Climbing; Planning; FF; SYSTEM;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
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 a global search method based on simulated annealing. Preliminary results show significant results compared to algorithms based on enforced hill climbing.
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页码：2085 / 2090
页数：6
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