In this paper, a qualitative model learning (QML) system is proposed to reconstruct the detoxification pathway of Methylglyoxal. First an algorithm is implemented to convert possible pathways to qualitative models. Then a general learning strategy is presented. Finally a clonal selection algorithm is employed to adapt to future possible more complicated pathways and its performance is compared with those of backtracking algorithms.
|Number of pages||6|
|Publication status||Published - 2008|
|Event||2008 UK Workshop on Computational Intelligence - Leicester, United Kingdom|
Duration: 10 Sept 2008 → 12 Sept 2008
|Conference||2008 UK Workshop on Computational Intelligence|
|Abbreviated title||UKCI '08|
|Period||10/09/08 → 12/09/08|