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为了应对季节性变化的市场需求和降低成本,针对市场需求不确定条件下的炼油厂生产库存优化问题,建立了一个考虑市场预测的多周期优化实例模型。模型中引入侧线采出总收率变量,简化了约束方程。然后根据模型特点采用实数编码的混合遗传算法(GA)进行求解。最后用某炼油厂的生产销售数据进行了优化计算,计算结果表明,基于遗传算法的多周期优化在基本满足市场需求的同时可大幅度降低总体库存费用。
In order to meet the market demand of seasonal change and reduce the cost, a multi-period optimization example model considering market forecast is established to solve the refinery production inventory optimization under the condition of uncertain market demand. In the model, the total yield of sideline was introduced to simplify the constraint equation. Then, a hybrid genetic algorithm (GA) based on real features of the model was used to solve the problem. Finally, the production and sales data of a refinery are optimized. The calculation results show that the multi-period optimization based on genetic algorithm can substantially reduce the overall inventory cost while basically meeting the market demand.