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 in:Chinese journal of chemical engineering 2012-12, Vol.20 (6), p.1148-1153
Main Author: 史旭华 钱锋
Format: Article
Language:English
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
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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.
ISSN:1004-9541
2210-321X
DOI:10.1016/S1004-9541(12)60600-4