Abstract: This paper proposes a novel multiobjective evolutionary algorithm inspired by quantum computing，which is named Improved Multi-universe Parallel Quantum-inspired Evolutionary Algorithm（IMPQEA）.In the algorithm，a new strategy is designed to update each quantum individuals.Moreover，the convergence of this algorithm is analyzed and the validity in theory is proved.At the end，it is applied to the multiobjective 0/1 knapsack problem.Experimental results show that IMPQEA finds the better solutions close to the Pareto-optimal front while maintaining a uniform spread of nondominated set.