基于量子遗传算法的云仓储选址分配问题研究

Research on Cloud Storage Location Allocation Problem based on Quantum Genetic Algorithm

针对云仓储的特点,基于集合覆盖模型,松弛了覆盖半径和覆盖状态,以物流系统成本最低为目标,建立了三层级的选址分配模型,设计了量子遗传算法求解。通过案例分析验证了模型的可行性,为实际选址-分配决策提供了理论依据。

According to the characteristics of cloud warehouse,based on the set covering model,the coverage radius and coverage state are relaxed. Aiming at the lowest cost of logistics system,a three-level location allocation model is established,and a quantum genetic algorithm is designed to solve the problem. The feasibility of the model is verified by case analysis,which provides a theoretical basis for the actual location allocation decision.