Abstract: This study discusses the use of genetic algorithm in mining negative association rules. In general the rule generated by Association Rule Mining technique do not consider the negative occurrences of attributes in them, but by using Genetic Algorithms (GAs) over these rules the system can predict the rules which contains negative attributes. GA is used for this kind of knowledge discovery because of their ability to search globally and perform well in case of attributes interaction. Their strength is essentially due to updating of the whole population, consisting of normal case of individuals and worst case of individuals of the possible solution in an adaptive way.