MATLAB-Based Source Code for Artificial Immune and Genetic Algorithms
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This MATLAB-based source code implements artificial immune systems and genetic algorithms, providing a computational framework for solving optimization problems. The algorithms mimic biological immune mechanisms and genetic evolution principles to handle complex optimization challenges. The source code includes key functions for population initialization, antibody generation, selection operations, crossover mechanisms, and mutation processes. It supports parameter configuration for algorithm tuning, fitness evaluation functions, and convergence monitoring. Researchers can utilize this codebase to study algorithmic behaviors, test optimization strategies, and develop customized solutions for real-world engineering problems within the MATLAB environment. The implementation features modular design with separate components for immune operator functions, genetic algorithm routines, and result visualization tools.
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