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提出了基于多目标满意优化的生料浆调配智能优化方法.该方法以满意度函数反映决策者对性能指标的评价,以综合满意度函数反映决策者对多目标协调的要求,构建氧化铝生料浆调配的满意优化模型,并通过自适应调整交叉概率和变异概率的改进遗传算法求解满意优化问题.所得优化结果更能反映决策者对实际工艺指标的评价,大幅度提高计算效率,减少生料浆质量指标的波动.基于工业运行数据的计算结果表明了该方法的有效性和实用性.
An intelligent optimization method of raw material slurry blending based on multi-objective satisfaction optimization is proposed.The method reflects the decision maker’s performance evaluation by satisfaction function, reflects the decision maker’s requirements for multi-objective coordination by comprehensive satisfaction function, The optimal model of slurry allocation and the improved genetic algorithm to adaptively adjust the crossover probability and mutation probability are used to solve the problem of satisfaction optimization.The results of the optimization can better reflect the evaluation of the actual process index by the decision maker and greatly improve the calculation efficiency The fluctuation of slurry quality index.The calculation results based on industrial operation data show the effectiveness and practicability of the method.