Optimization Implementation of Clonal Selection Algorithm for Graduation Project

During my graduation project, I successfully implemented an optimization program based on the clonal selection algorithm. The system utilizes binary encoding implementation with several embedded functions designed to monitor convergence trends and identify optimal solutions effectively. Key algorithmic components include affinity maturation mechanisms, clone proliferation controls, and mutation operators that collectively enhance solution quality through iterative refinement. Despite encountering significant challenges during development, persistent efforts yielded a robust implementation demonstrating remarkable optimization capabilities. The program's architecture features modular function design, including fitness evaluation modules and population management handlers, ensuring efficient performance tracking. I firmly believe this implementation holds substantial potential for future research applications, offering valuable contributions to computational optimization methodologies and practical problem-solving scenarios.