关键词: 换热网络, 局部最优解, 微分进化算法, 收敛稳定性

Abstract: This research analyzed relationship between heat exchanger networks areas and total cost，and the features of non-linear and non-convex in the heat exchanger networks. These characteristics resulted in many local solutions in optimization process. The conventional optimization methods based on gradient information could be affected greatly by the initial point，and easily traped into local solution which interrupts the optimization process in the heat exchanger network. This work developed differential evolution algorithm for optimization of heat exchanger networks synthesis based on the Grossman stage-wise superstructure，aiming at solving the optimization obstacle in the heat exchanger network. Compared with the results derived from Newton method，this method showed robust in optimizing heat exchanger networks problems，and demonstrated minimum influence by the initial points. Consequently，this method indicated good stability and effectiveness，it could help in reducing total cost in productive process.

Key words: heat exchanger networks, initial point, differential evolution, convergence stability