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论文类型：期刊论文

发表时间：2016-01-01

发表刊物：Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia

收录刊物：EI

卷号：39

期号：12

页面范围：181-191

ISSN号：02540770

摘要：In this paper, a novel solution strategy based on particle swarm optimization (PSO) algorithm is developed for simultaneous optimization of cost-optimal heat exchanger network synthesis (HENS). Compared to sequential method, simultaneous approach usually needs establishing a more complicated mixed integer nonlinear program (MINLP) model that has complex multi-peak search space. Our work is trying to develop an efficient optimization algorithm to solve the complicated model. The proposed strategy is applied to four examples taken from previous research about HENS, and the results prove that the method is more effective to HENS problems.