Modified Genetic Algorithms (GA) and Other Optimization Algorithms from Wiley Publications

This document presents modified MATLAB code implementations of various genetic algorithms (GA) originally sourced from Wiley publications, supplemented with additional optimization algorithms including Particle Swarm Optimization and Ant Colony Optimization. All codes have been thoroughly validated and are immediately deployable for optimization tasks. Key modifications include performance enhancements through optimized selection operations, improved crossover mechanisms using adaptive probability distributions, and refined mutation operators with dynamic rate adjustments. The implementations feature structured population management, fitness evaluation functions with constraint handling capabilities, and convergence monitoring systems. These enhancements ensure better solution quality, faster convergence rates, and increased algorithmic stability across different problem domains. The code architecture maintains modular design principles with clear separation of algorithmic components, making it suitable for both educational purposes and practical engineering applications.