合金收得率预测及配料方案优化问题的建模与求解
scientific and technological innovationInformation(2019)
Abstract
随着人工智能的发展,各国钢铁企业都在探索最优的自动配料系统,合金收得率预测及成本优化算法的研究成为热点.本文建立了基于遗传算法优化的多层神经网络BP算法的收得率预测模型、 基于改进单纯形法的配料成本优化模型,利用MATLAB、LINGO软件对算例进行了求解,检验出本文模型的实用性良好.
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