Explore MATLAB source code curated for "克隆选择" with clean implementations, documentation, and examples.
MATLAB-based implementation simulating the adaptive clonal selection principle functionality in artificial immune systems, featuring algorithm optimization and performance analysis
Implementation of image segmentation through hybrid clone selection and particle swarm optimization algorithms, demonstrating superior segmentation performance validated through multiple experimental trials.
Key concepts include immune recognition, immune learning, immune memory, clonal selection, individual diversity, distribution, and adaptability, with algorithmic implementations addressing pattern matching, optimization, and dynamic response mechanisms.
Clonal Selection Immune Algorithm incorporating clone selection principles, featuring a novel clone operator implementation with population management and affinity-based selection mechanisms
Artificial Immune Algorithm implementation using information entropy for antibody diversity measurement, with affinity maturation achieved through clone selection and hypermutation mechanisms