Planning air missions for a team flying in hostile environmentsis a complex task, since multiple interrelated goalsneed to be considered, e.g., performing the mission tasks andavoiding enemy fire. The target assignment and route planningfor the team should therefore be performed in a coordinatedway. The mission planner suggested in this work combinesgenetic algorithms and particle swarm optimization inorder to solve these two problems in an interconnected manner.Simulations are used for testing and analyzing the approach.It is concluded that the mission planner is able tosuggest suitable plans in complex scenarios with three interrelatedobjectives: low risk exposure, high mission effectivenessand short route length.