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针对罩式退火炉钢卷堆垛组合优化问题,建立了以最小化堆垛数和最大化炉台生产率为目标的数学模型。提出了一个结合最优匹配递减法、遗传算法和模拟退火算法等方法的混合遗传算法对模型进行求解。通过实际生产数据的仿真验证以及上述各种算法结果之间的比较,表明提出的混合遗传算法优化效果显著,可应用于罩式退火炉过程控制级,指导实际的生产。
Aiming at the combinatorial optimization of the coil annealing stacker, a mathematical model with the goal of minimizing the number of stacks and maximizing the throughput of the furnace station was established. A hybrid genetic algorithm combining optimal match reduction method, genetic algorithm and simulated annealing algorithm is proposed to solve the model. The simulation results of the actual production data and the comparison between the above algorithms show that the proposed hybrid genetic algorithm has significant optimization effect and can be applied to the process control level of the bell annealer to guide the actual production.