应用结构摄动策略的有分流换热网络优化

Heat Exchanger Network Optimization Using Structural Perturbation Strategy

  • 摘要: 有分流节点非结构模型(NNM-SS)应用于换热网络优化时,因难以生成合适的分流结构而使优化陷入局部极值.根据NNM-SS的优化特点及网络结构中分流次数对费用的影响,提出结构摄动策略,并将其引入强制进化随机游走算法(RWCE-SS).策略的主要思想为:在优化过程中,以一定的概率随机抽取一个无分流结构的换热器,并在该位置上生成一组新的分流结构以增加网络中的分流次数,通过对结构的摄动实现对算法搜索能力的提升.算例验证表明应用该策略改进的算法可获得更好的优化结果.

     

    Abstract: As nodes-based nonstructural model with stream splits (NNM-SS) applied in heat exchanger network synthesis, optimization may be trapped in local optima due to the difficult in generating suitable structures with stream splits. Structural perturbation strategy is proposed and is added into random walk algorithm with compulsive evolution (RWCE-SS). During optimization, a heat exchanger without stream splits is chosen under a certain probability, and then generating a new substream structure on its position to add the number of stream splits in the network. Optimization results obtained by retrofitted algorithm are better than those in literatures.

     

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