Abstract: Association rule is one of the important models of data mining，and has the most significant application value.This paper combining with the concentration and affinity of antibodies，brings forward a method of mining association rules based on clonal simulated annealing genetic algorithm.It first generates a new group of individuals through clonal operation，and makes mutation/selection independently with all the generated individuals respectively.Experiment results demonstrate that this method can solve association rule mining effectively.