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Erschienen in:
2012 | OriginalPaper | Buchkapitel
A Cooperative Multi-objective Optimization Framework based on Dendritic Cells Migration Dynamics
verfasst von : N. M. Y. Lee, H. Y. K. Lau
Erschienen in: Research and Development in Intelligent Systems XXIX
Verlag: Springer London
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Clonal Selection
and
Immune Network Theory
are commonly adopted for resolving optimization problems. Here, the mechanisms of migration and maturation of Dendritic Cells (DCs) is adopted for pursuing pareto optimal solution( s) in complex problems, specifically, the adoption of multiple characters of distinct clones of DCs and the immunological control parameters in the process of signal cascading. Such an unconventional approach, namely,
DC-mediated Signal Cascading Framework
further exploits the intrinsic abilities of DCs, with the added benefit of overcoming some of the limitations of conventional optimization algorithms, such as convergence of the Pareto Front.