Optimization of scheduling for special steel reheat furnace based on immune-culture algorithm
基于免疫文化算法的特钢加热炉调度优化

The production of special steel features in large product-variety and small product-quantity. This leads to a NP-hard problem of online scheduling for the reheat furnace. An optimal scheduling method based on the immune-culture algorithm is proposed for the reheat furnace after the problem is discussed in detail. This algorithm takes advantages of the global searching in the immune-clone algorithm and the commonly accepted guidelines constituted by the culturealgorithm. Simulations show that the proposed method outperforms the manual method in many respects, such as the utilization factor of the rolling mill, the mean retention time of billets and the running time of furnaces.