Comparison of Control Policy Algorithms for Optimal System Operation
The control policy algorithm is examined and compared in this study. This research investigates a two state partially observable Markov chain in which only deterioration can occur and for which the only actions possible are to replace or to live alone. The goal of this research is to compare the computational efficiencies of control algorithm; one is Sondiks algorithm and the other one is jump algorithm.
Markov chain control policy algorithm observable markov decision process (POMDP)
DENG Hua KIM Chang Eun
School of Management,Tianjin Polytechnic University,P.R.China,300387 Department of Industrial Engineering,Myongji University,Korea,449728
国际会议
2008 International Conference of Management Science and Engineering(2008管理科学与工程国际学术会议)
河南焦作
英文
1317-1321
2008-11-01(万方平台首次上网日期,不代表论文的发表时间)