混沌蚁群算法应用于小规模换热网络综合问题

Design of small-scale heat exchanger networks by chaotic ant swarm algorithm

针对换热网络综合问题的严重非凸、非线性,采用一种混沌优化算法即混沌蚁群算法,同步综合换热网络。为充分验证混沌蚁群算法的搜索能力与特性,选择相对于固定结构更为复杂的小规模换热网络综合问题作为研究对象。同时引入Powell法作为局部搜索策略,提高算法的求解精度。选用3个小规模算例对算法进行验证,均获得了相对文献更好的换热网络设计,证明了混沌蚁群算法优越的搜索能力。

Because of serious non-convex and non-linear problems in heat exchanger networks synthesis, a chaotic optimization algorithm, namely chaotic ant swarm algorithm（CAS）, was proposed for the synchronous synthesis of the heat exchanger networks. The search ability and features of CAS were verified with complicated small-scale heat exchanger network synthesis as the investigated subject. The Powell method was introduced as local search strategy to enhance the accuracy and stability of CAS. Three different cases based on small-scale heat exchanger networks were calculated by means of the proposed algorithm and the obtained solutions were compared with results published in literatures, which showed the excellent search ability of CAS.