专利详细信息

基于SPEA2算法的铝电解生产优化方法

文献类型：专利

专利类型：发明专利

是否失效：否

是否授权：否

申请号：CN201510753958.2

申请日：20151106

发明人：易军黄迪李太福何海波周伟张元涛陈实刘兴华

申请人：重庆科技学院

申请人地址：400023 重庆市沙坪坝区大学城东路20号

公开日：20160203

公开号：CN105302976A

代理人：陈千

代理机构：重庆为信知识产权代理事务所(普通合伙)

语　　种：中文

摘　　要：本发明提供了一种基于SPEA2算法的铝电解生产优化方法，首先，利用BP神经网络对铝电解生产过程进行建模，然后，利用基于SPEA2算法生产过程模型进行优化,得到各决策变量的一组最优解以及该最优解对应的电流效率、吨铝耗能和全氟化物排放量。该方法确定了铝电解生产过程中工艺参数的最优值，有效提高了电流效率，降低了吨铝能耗，减少了温室气体排放量，真正达到节能减排的目的。

主权项：1.一种基于SPEA2算法的铝电解生产优化方法，其特征在于，包括如下步骤：S1：统计铝电解生产过程中对电流效率、吨铝能耗和全氟化物排放量有影响的原始变量，并从中确定对电流效率、吨铝能耗和全氟化物排放量影响大的参数作为决策变量X；S2：采集时间T内的决策变量X及其对应的电流效率、吨铝能耗和全氟化物排放量Y的样本，得到样本矩阵，利用BP神经网络进行训练、检验，建立铝电解生产过程模型；S3：利用基于SPEA2算法对生产过程模型进行优化，得到各决策变量的一组最优解以及该最优解对应的电流效率、吨铝能耗和全氟化物排放量；SPEA2算法对生产过程模型进行优化的具体步骤包括：S31：计算初始个体的适应度F(i)＝R(i)+D(i)，其中R(i)和D(i)是影响F(i)大小的两个因素；根据帕累托支配概念，求出R(i)，即： $<math> <mrow> <mi>R</mi> <mrow> <mo>(</mo> <mi>i</mi> <mo>)</mo> </mrow> <mo>=</mo> <munder> <mo>Σ</mo> <mrow> <mi>j</mi> <mo>&Element;</mo> <mi>P</mi> <mo>+</mo> <mi>N</mi> <mi>D</mi> <mi>s</mi> <mi>e</mi> <mi>t</mi> <mo>,</mo> <mi>j</mi> <mo>></mo> <mi>i</mi> </mrow> </munder> <mi>S</mi> <mrow> <mo>(</mo> <mi>j</mi> <mo>)</mo> </mrow> </mrow></math>$ 式中，P为进化群体，Q为归档集；D(i)是影响F(i)同时考虑支配个体和被支配个体的信息，采用近邻机制对F(i)求得更科学的评价， $<math> <mrow> <mi>D</mi> <mrow> <mo>(</mo> <mi>i</mi> <mo>)</p><p class='subject'><strong>关键词：</strong><b class='type_ico_id'></b>铝电解生产 <b class='type_ico_id'></b>电流效率 <b class='type_ico_id'></b>排放量最优解算法 <b class='type_ico_id'></b>电解生产节能减排决策变量全氟化物生产过程 <b class='type_ico_id'></b>温室气体优化方法 <b class='type_ico_id'></b>最优值对铝耗能建模一种一组能耗对应优化进行减少有效 </p><p class='class'><strong>IPC专利分类号：</strong>G06F17/50(20060101)</p>
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