A cooperative multi-objective optimization framework based on dendritic cells migration dynamics

Abstract

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.