Abstract
In this paper an idea of the artificial immune system was used to design an algorithm for non-stationary function optimization. The unknown and varying in time optimum is treated here as an antigen and the aim of the system is to produce antibodies. Three different strategies awarding memory cells are investigated.
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Trojanowski, K., Wierzchoń, S.T. (2003). Memory Management in Artificial Immune System. In: Rutkowski, L., Kacprzyk, J. (eds) Neural Networks and Soft Computing. Advances in Soft Computing, vol 19. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1902-1_100
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DOI: https://doi.org/10.1007/978-3-7908-1902-1_100
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-0005-0
Online ISBN: 978-3-7908-1902-1
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