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中文摘要：
针对板坯入库优化决策问题，采用隶属度函数表示待入库板坯长度、宽度、厚度与各库位已存板坯对应属性的匹配程度，建立了板坯入库模型．针对问题特征，借鉴遗传算法的交叉和变异操作，设计了一种混合离散粒子群算法（DPSO—CM）进行求解．基于企业实际生产数据的仿真实验验证了模型和算法的可行性和有效性．
英文摘要：
For solving the slab location decision problem with hybrid stowage, a slab location model using a membership function was built to express the level of matching on the related attributes of length, width and thickness between the storing slabs and stored slabs in a warehouse. According to the characteristics of the problem, a hybrid discrete particle swarm algorithm, called DPSO-MC, was proposed based on crossover and mutation in genetic algorithms. Experimental results on a real case of a steel plant demonstrate that the model and algorithm are feasible and effective.
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