A GA-PSO Hybrid Algorithm with Enhanced Variable Boundary Handling

I implemented a downloaded GA-PSO hybrid optimization algorithm that combines Genetic Algorithm and Particle Swarm Optimization strategies. The algorithm demonstrated good efficiency but required modifications to handle variable-specific boundary constraints. Key improvements include enabling independent upper/lower bounds for each design variable and fixing stability bugs through enhanced boundary-checking functions and constraint handling mechanisms.