Different entities are interested in different objectives in a microgrid scheduling so that various optimization strategies are put forward considering the evaluation of economic, technical and environmental performances. The economic model with minimum generating and trading cost, technical model with minimum loss and environmental model with minimum pollutant gases emission are built and a combined strategy is proposed in case of conflicting objectives. Genetic algorithm combined with analytic hierarchy process is introduced to solve the optimization problem. Specifically, a Pareto front is given based on an adaptive genetic algorithm and an assessment of some Pareto solutions is performed through the analytic hierarchy process. Finally, the simulation results of a typical European microgrids show the feasibility and validity of the model.