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

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....

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Bibliographic Details
Published inChinese journal of chemical engineering Vol. 20; no. 6; pp. 1148 - 1153
Main Author 史旭华 钱锋
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.12.2012
Subjects
Algorithms
Benchmarking
Chemical engineering
Columns (process)
Distillation
distillation unit
immune network
multi-agent
Multiagent systems
Networks
optimization
Searching
人工免疫
估算
免疫机制
塔板效率
多Agent
多代理技术
网络算法
蒸馏装置
optimization
multi-agent
immune network
distillation unit
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ISSN1004-9541
2210-321X
DOI10.1016/S1004-9541(12)60600-4

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Summary: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.
Bibliography: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.
distillation unit; optimization; immune network; multi-agent
SHI Xuhua 1, ＊＊ and QIAN Feng 2 1 Information Institute, NingBo University, NingBo 315211, China 2 State-Key Laboratory of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, China
11-3270/TQ
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ISSN:1004-9541
2210-321X
DOI:10.1016/S1004-9541(12)60600-4