First published 2 September 2013
Modelling the Migration and Maturation of Dendritic Cells for Automatic Optimization of Complex Engineering Problems
Henry Lau, Nicole Lee
The metaphor of Migration and Maturation of Dendritic Cells (DCs), in particular, the induced signal pathways to the change of the immunogenic functions of DCs (Martin-Fontecha, Lanzavecchis & Sallusto, 2009) provides important features for the development of the proposed DC-inspired optimization algorithm. Specifically, the quantified capability and behavioral change of DCs (Callard, George & Stark, 1999) of the classical DC models (Caetano Reis, 2006), namely, (i) ontogeny of DC, (ii) the selectively up-regulation of markers (of DC subsets), (iii) the level of threat (of the antigen), (iv) production of chemokine and cytokine, (v) transcription factors, and (vi) the effector functions of DCs underpin a highly autonomous control mechanism for the evolution of the optimal solution(s).