应用节点非结构模型(nodes-based non-structural model, NNM) 优化换热网络时,
合理地配置节点参数(分流组数和分支数) 可辅助算法以更高的效率获得更优的结果. 然而, NNM …

WCE 算法优化换热网络时, 固定投资费用的存在易造成小负荷换热单元难以产生和保留,
使部分尚未完全进化的结构过早被淘汰. 本文建立一种固定投资费用的松弛处理方法 …

Heat exchange network optimization is a research difficulty in the field of chemical process
system. Its mathematical model is highly nonconvex and nonlinear, so it often has limitations …

换热网络规模越大, 其解空间内极值点呈指数性增长, 优化时不仅要求算法具有强大的全局寻优
能力, 局部解空间的高精度搜索也不可或缺. 鉴于强制进化随机游走算法(RWCE) …

换热网络非结构模型是以一定概率随机选择冷热流体上存在的换热单元参与进化,
因此每次进化过程中每股流体上不一定都有换热单元被选中参与进化. 对于当前次迭代不参与 …

The individual heat exchanger network structure is basically stereotyped when it is
optimized by random walk algorithm with compulsive evolution (RWCE) to a certain stage …

换热单元的生成频次对换热网络优化有直接的影响, 分析其机理可以指导求解算法的改进.
本文采用节点非结构模型及强制进化随机游走算法, 通过设置不同的换热单元生成概率与生成个 …

The larger the scale of heat exchange network, the extreme points in its solution space
increase exponentially. The optimization requires not only the algorithm to have strong …

When applying the nodes-based non-structural model (NNM) in optimizing heat exchanger
networks, the reasonable adjusting the nodes' parameters (number of stream splitting and …

As RWCE algorithm is used to optimize heat exchanger networks, the existence of fixed
investment cost makes it difficult to produce and retain heat exchanger units with small …