A New Artificial Immune Network Algorithm for Classifying Complex Data

2010 ◽  
Vol 32 (3) ◽  
pp. 515-521 ◽  
Author(s):  
Ruo-chen Liu ◽  
Man-chun Niu ◽  
Li-cheng Jiao
2010 ◽  
Vol 29-32 ◽  
pp. 923-928 ◽  
Author(s):  
Ting Gui Chen

An improved artificial immune network algorithm used to solve multi-mode resource constrained multi-project scheduling problem in product development process is put forward. Firstly, the mathematic model of multi-project scheduling problem is set up. And then, Operations including clonal selection, negative selection and network suppression are used to realize the local searching and global searching which will assure that the algorithm has a powerful searching ability and also avoids the possible combinatorial explosion. Finally, a randomly generated case is used to test its performance and the result shows that the algorithm is effective and efficient.


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