Abstract
Aimed at multimodal optimization, the paper proposes an improved discrete immune network model (IDIN). In order to mention dynamic population and appropriate diversity, we introduce a bi-shape-space coding mechanism into a discrete immune network. To evaluate the efficiency of IDIN, we implemented three benchmark functions with various dimensions, and compared our results with other algorithms based on immune algorithm or the developed version of Genetic Algorithms. We have obtained similar or better results than those of others. © Springer-Verlag Berlin Heidelberg 2006.
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Xie, J. X., Cheng, C. T., & Ren, Z. H. (2006). An improved discrete immune network for multimodal optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4224 LNCS, pp. 1079–1086). Springer Verlag. https://doi.org/10.1007/11875581_128
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