The major tasks in multiple query processing in multi database system are common operation or expression identification and global execution plan construction. Each query can have several alternative evaluation plans, each with a different set of tasks. Therefore the goal of multiple query processing is to choose the right set of plans for queries which minimizes the total execution time by performing common tasks only once. The objectives in the multiple query processing are to increase system throughput and decrease single query response time. I have retrieved the alternate plans and the tasks, estimated cost of plans and heuristic function of alternate plans in multi database system by applying the genetic algorithm technique.