考虑多性能指标的配料优化模型及求解算法

为有效实现有色冶金配料过程的优化计算,提出一种综合考虑产品质量、成本、库存等多个性能指标的配料优化模型及满意求解算法。首先,考虑原料库存对配料过程的影响,将库存成本作为目标函数,库存量作为约束引入配料优化模型;然后,针对模型具有多个质量边界约束的特点,利用配料过程中质量约束边界的可调整性,引入满意优化理论中的"软约束"调整约束边界,以改善该优化问题求解的可行性;最后,采用以单变量编码的交叉变异来确定整体决策向量的小生境遗传算法进行寻优,并将提出的模型和算法应用于铜闪速熔炼配料过程中。研究结果表明:所提出的优化模型及求解算法克服了多维变量编码可能导致搜索空间剧增的缺陷,有效地提高了遗传算法的全局搜索能力和收敛速度;优化结果既能满足熔炼工艺要求,也能有效降低杂质含量和生产成本。

Blending optimization model considering multiple production indices and satisfactory solution algorithm

In order to effectively solve the blending optimization problem in nonferrous smelting process, an optimization model integrating production indices, the cost and the storage of raw materials and its solution method were provided. Firstly, the storage cost and the storage capacity of raw materials were incorporated into the optimization model respectively as the objective function and constraints to consider effects of storage on the blending process. Then, based on the fact that the index constraints were ...