A Novel Hybrid Quantum Inspired Genetic Algorithm Based on Dynamic Rotation Angle Strategy for Flow Shop Scheduling

This paper considers the problem of minimizing the makespan for flow shop scheduling. An encoding method is proposed for the hybrid quantum evolutionary algorithm, and a dynamic rotation angle strategy is introduced for quantum evolutionary. It is shown from the simulation results that the proposed method can obtain quicker speed and better effectiveness of optimization.