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基于多智体免疫网络算法的精馏装置板效率估计(英文)
引用本文:史旭华,钱锋. 基于多智体免疫网络算法的精馏装置板效率估计(英文)[J]. 中国化学工程学报, 2012, 20(6): 1148-1153. DOI: 10.1016/S1004-9541(12)60600-4
作者姓名:史旭华  钱锋
作者单位: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
基金项目: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)
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  
收稿时间:2012-05-28

A Multi-agent Artificial Immune Network Algorithm for the Tray Efficiency Estimation of Distillation Unit
SHI Xuhua, and QIAN Feng. A Multi-agent Artificial Immune Network Algorithm for the Tray Efficiency Estimation of Distillation Unit[J]. Chinese Journal of Chemical Engineering, 2012, 20(6): 1148-1153. DOI: 10.1016/S1004-9541(12)60600-4
Authors:SHI Xuhua    QIAN Feng
Affiliation: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
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.
Keywords:
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