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    潘衍, 费正顺, 赵利, 梁军. 基于改进的迭代动态规划的化工过程动态优化[J]. 华东理工大学学报(自然科学版), 2013, (1): 61-65.
    引用本文: 潘衍, 费正顺, 赵利, 梁军. 基于改进的迭代动态规划的化工过程动态优化[J]. 华东理工大学学报(自然科学版), 2013, (1): 61-65.
    PAN Yan, FEI Zheng-shun, ZHAO Li, LIANG Jun. Dynamic Optimization for Chemical Process Based on Improved Iterative Dynamic Programming Algorithm[J]. Journal of East China University of Science and Technology, 2013, (1): 61-65.
    Citation: PAN Yan, FEI Zheng-shun, ZHAO Li, LIANG Jun. Dynamic Optimization for Chemical Process Based on Improved Iterative Dynamic Programming Algorithm[J]. Journal of East China University of Science and Technology, 2013, (1): 61-65.

    基于改进的迭代动态规划的化工过程动态优化

    Dynamic Optimization for Chemical Process Based on Improved Iterative Dynamic Programming Algorithm

    • 摘要: 为了对化工动态系统进行快速的全局优化,结合并加强迭代动态规划算法和一阶梯度算法的优势,同时利用随机搜索和定向搜索,提出了基于一阶梯度算法的迭代动态规划算法,通过2个化工生产实际例子应用,证明了该算法具有高效、高精度、全局性好等特点。

       

      Abstract: To get the global optimization of chemical engineering dynamic system rapidly, an improved iterative dynamic programming algorithm based on first order algorithm was proposed. This algorithm used both stochastic search and deterministic search, which combined the advantages of iterative dynamic programming algorithm and first order gradient algorithm. Then the algorithm was applied to two practical examples of chemical producing. The results proved that the algorithm had advantages of precision, high efficiency and global optimization.

       

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