Abstract: This paper proposes a novel multiobjective evolutionary algorithm inspired by quantum computing，which is named Multi-universe Parallel Quantum-inspired Multiobjective Evolutionary Algorithm（MPQMEA）.In the algorithm，all individuals are divided into some independent sub-colonies，called universes，according to their definite topological structure.The uniform assignment principle of target individuals and dynamic adjusting rotation angle mechanism are applied to update each universal individuals.Information among the universes is exchanged by adopting the best emigration.To utilize global information，the best reservation scheme is designed for the improvement of search efficiency.Experimental results pertaining to the multiobjective 0/1 knapsack problem show that MPQMEA finds the better solutions close to the Pareto-optimal front while maintaining a uniform spread of nondominated set.