This research furthers our previous work on developing QML-AINet, a learning system that applies OptAINet, an immune network approach to optimisation problems, to the field of Qualitative Model Learning (QML). The mutation operator of Opt-AINet was modified to improve the efficiency of QML-AINet, and experiments showed that for dealing with QML, QML-AINet with the newly modified mutation operator outperformed both previous systems: QML-CLONALG and the early version of QML-AINet.
|Number of pages||6|
|Publication status||Published - 2011|
|Event||11th UK Workshop on Computational Intelligence 2011 - Manchester, United Kingdom|
Duration: 7 Sep 2011 → 9 Sep 2011
|Conference||11th UK Workshop on Computational Intelligence 2011|
|Period||7/09/11 → 9/09/11|