论文信息 - Searching for Memory in Artificial Immune System

Searching for Memory in Artificial Immune System

In this paper an idea of the artificial immune system was used to design an algorithm for non-stationary function optimization. It was demonstrated that in the case of periodic function changes the algorithm constructively builds and uses immune memory. This result was contrasted with cases when no periodic changes occur. Further, an attempt towards the identification of optimal partitioning of the antibodies population into antibodies subjected clonal selection and programmed death of cells (apoptosis) has been done.

Krzysztof Trojanowski | Slawomir T. Wierzchon

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