The increasing rate of data is a challenging task for mined useful association rule in data mining. The classical association rule mining generate rule with several problem such as pruning pass of transaction database, negative rule generation and supremacy of rule set. Time to time various researchers modified classical association rule mining with different approach. But in current scenario association rule mining suffered from supremacy rule generation. The problem of supremacy is solved by multi-objective association rule mining, but this process suffered continuity of rule generation.