MATLAB Implementation of Clonal Immune Algorithm
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In the original text, we can consider adding detailed explanations to expand the content length while preserving the core concepts. The Clonal Immune Algorithm is a method based on cloning algorithm that replicates memory pool populations. It enhances population diversity and improves search efficiency by duplicating individuals from the memory pool. This approach can be further optimized and adapted to various problem scenarios through enhancements built upon the clonal immune algorithm foundation. From an implementation perspective, the algorithm typically involves key functions such as cloning operations (cloning high-affinity antibodies), affinity maturation through mutation, and memory cell update mechanisms. In MATLAB, this can be implemented using array operations for population management, where the memory pool stores elite solutions and cloning factors determine replication rates based on fitness values.
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