Computing in Science and Engineering
An Immunological Approach to Combinatorial Optimization Problems
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
The cross-reactive immune response: analysis, modeling, and application to vaccine design
The cross-reactive immune response: analysis, modeling, and application to vaccine design
Architecture for an Artificial Immune System
Evolutionary Computation
Hi-index | 0.00 |
An Artificial Immune System-based Dynamic Routing (AISDR) framework is engineered through the adoption of the characteristics that are analogous to human immune system for solving dynamic routing problems. The framework covers the profound features on recognition, selection, learning, memory, and adaptation capabilities. An AISDR algorithm is developed that incorporates the features of clonal selection, affinity maturation, and immunological memory features. Simulation study is carried out to evaluate the performance of the algorithm in the global shipment operation.