Abstract
An multi-agent artificial immune network algorithm (Maopt-aiNet) is introduced in this paper. Unlike other intelligent algorithms, Maopt-aiNet combines the idea of immune mechanics and multi-agent technology to overcome premature problem and fully make use of the agent ability of sensing and acting on the environment. The operators of Maopt-aiNet include neighborhood clonal selection, neighborhood competition, self-confidence motivation, and neighborhood collaboration. The performance of the proposed method is studied with the use of six benchmark problems and compared with other well-known intelligent algorithms. The experiments conducted show that Maopt-aiNet outperforms the other algorithms. Furthermore, it is applied to determine the murphree efficiency of the distillation column, and satisfactory results are obtained.
Foundation item: Zhejiang Technology Programme (2011C21077), Zhejiang Natural science Fund (Y1090548), Ningbo Natural science Fund(2011A610173 ), Ningbo key construction service-oriented professionals(Sfwxzdzy200903).
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Shi, X. (2011). An Multi-agent Artificial Immune Network Algorithm and Its Application. In: Tan, H. (eds) Informatics in Control, Automation and Robotics. Lecture Notes in Electrical Engineering, vol 132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25899-2_42
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DOI: https://doi.org/10.1007/978-3-642-25899-2_42
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