Model Accuracy for Hierarchical Problems
Estimation of distribution algorithms, especially those using Bayesian network as their probabilistic model, have been able to solve many challenging optimization problems, including the class of hierarchical problems, competently. Since modelbuilding constitute an important part of these algorithms, finding ways to improve the quality of the models built during optimization is very beneficial. This in turn requires mechanisms to evaluate the quality of the models, as each problem has a large space of possible models. The efforts in this field are mainly concentrated on single-level problems, due to complex structure of hierarchical problems which makes them hard to treat. In order to extend model analysis to hierarchical problems, a model evaluation algorithm is proposed in this paper which can be applied to different problems. The results of applying the algorithm to two common hierarchical problems are also mentioned and described.
model accuracy template matriz evaluation metrics hierarchical problems EDAs
Hossein Karshenas Amin Nikanjam B.Hoda Helmi Adel T.Rahmani
SCOMAS Laboratory,Department of Computer Engineering Iran University of Science and Technology (IUST)Tehran,Iran
国际会议
上海
英文
852-856
2009-11-20(万方平台首次上网日期,不代表论文的发表时间)