SCI和EI收录∣中国化工学会会刊

Chin.J.Chem.Eng. ›› 2012, Vol. 20 ›› Issue (6): 1148-1153.

• PROCESS MODEL • Previous Articles     Next Articles

A Multi-agent Artificial Immune Network Algorithm for the Tray Efficiency Estimation of Distillation Unit*

SHI Xuhua1, QIAN Feng2   

  1. 1. Information Institute, Ning Bo University, Ning Bo 315211, China;
    2. State-Key Laboratory of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, China
  • Received:2012-05-28 Revised:2012-07-30 Online:2012-12-28 Published:2012-12-28
  • Supported by:
    Supported by the National Natural Science Foundation of China (61271137);Public Science and Technology Research Funds Projects of Zhejiang Province (2011C21077);the Natural Science Foundation of Ningbo City (2011A610173)

A Multi-agent Artificial Immune Network Algorithm for the Tray Efficiency Estimation of Distillation Unit*

史旭华1, 钱锋2   

  1. 1. Information Institute, Ning Bo University, Ning Bo 315211, China;
    2. State-Key Laboratory of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, China
  • 通讯作者: SHI Xuhua,E-mail:Shixuhua@nbu.edu.cn
  • 基金资助:
    Supported by the National Natural Science Foundation of China (61271137);Public Science and Technology Research Funds Projects of Zhejiang Province (2011C21077);the Natural Science Foundation of Ningbo City (2011A610173)

Abstract: Based on the immune mechanics and multi-agent technology,a multi-agent artificial immune network (Maopt-aiNet) algorithm is introduced.Maopt-aiNet makes use of the agent ability of sensing and acting to overcome premature problem,and combines the global and local search in the searching process.The performance of the proposed method is examined with 6 benchmark problems and compared with other well-known intelligent algorithms.The experiments show that Maopt-aiNet outperforms the other algorithms in these benchmark functions.Furthermore,Maopt-aiNet is applied to determine the Murphree efficiency of distillation column and satisfactory results are obtained.

Key words: distillation unit, optimization, immune network, multi-agent

摘要: Based on the immune mechanics and multi-agent technology,a multi-agent artificial immune network (Maopt-aiNet) algorithm is introduced.Maopt-aiNet makes use of the agent ability of sensing and acting to overcome premature problem,and combines the global and local search in the searching process.The performance of the proposed method is examined with 6 benchmark problems and compared with other well-known intelligent algorithms.The experiments show that Maopt-aiNet outperforms the other algorithms in these benchmark functions.Furthermore,Maopt-aiNet is applied to determine the Murphree efficiency of distillation column and satisfactory results are obtained.

关键词: distillation unit, optimization, immune network, multi-agent