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Clonal Selection Algorithm
Metaheuristic based on the biological principle of clonal selection where the most effective antibodies are cloned and mutated to improve antigen recognition.
Idiotypic Network Theory
Theoretical model describing immune regulation through antibody interactions where each antibody can serve as an antigen for other antibodies.
Artificial Antibodies
Candidate solutions in immune algorithms that represent entities recognizing and eliminating problematic antigens.
Somatic Hypermutation
Genetic operator applying high-rate mutations to selected antibodies to explore the solution space.
Affinity Maturation
Iterative process of progressive antibody improvement through cloning and mutation to increase their affinity with antigens.
Danger Theory
Immune model where the response is triggered by danger signals rather than a simple self/non-self distinction.
Artificial Immune Memory
Set of best solutions preserved between generations to accelerate convergence to optimal solutions.
Immune Diversity
Maintenance of solution variety in the population to avoid premature convergence and effectively explore the search space.
Artificial Immune Tolerance
Mechanism that allows the system to accept valid solutions while rejecting abnormal or undesired patterns.
Immune Cell Cooperation
Mechanism where different types of artificial immune cells collaborate to improve the overall system performance.
Artificial Adaptive Immune System
Architecture capable of dynamically adapting to changes in the problematic environment over time.
Immune Pattern Recognition
Process of identification and classification of patterns based on antigen-antibody recognition mechanisms.