论文信息 - A New Paradigm of Optimisation by Using Artificial Immune Reactions

A New Paradigm of Optimisation by Using Artificial Immune Reactions

This paper presents an implementation of an artificial immune system in order to realise multi-modal function optimisation. The main paradigms of an artificial immune system are clonal selection and affinity maturation. Therefore these paradigms are reviewed briefly. The optimisation is based on the opt-aiNet algorithm. This algorithm is described theoretically. Furthermore, the Griewank function has been used to test the algorithm with different parameters. The simulation results are discussed.

Adolf Grauel | Harold J. Convey | Markus Köster | Georg Klene

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