An improved artificial immune algorithm with a dynamic threshold
Source abstract
Abstract
Abstract An improved artificial immune algorithm with a dynamic threshold is presented. The calculation for the affinity function in the real-valued coding artificial immune algorithm is modified through considering the antibody's fitness and setting the dynamic threshold value. Numerical experiments show that compared with the genetic algorithm and the originally real-valued coding artificial immune algorithm, the improved algorithm possesses high speed of convergence and good performance for preventing premature convergence.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Artificial Immune Systems Applications · Metaheuristic Optimization Algorithms Research · Mathematical and Theoretical Epidemiology and Ecology Models
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References (11)
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