Job Shop Scheduling Problem (JSSP) Solutions using GA, PSO, hPSO, and CPSO Algorithms

I require source code implementations for solving the Job Shop Scheduling Problem (JSSP) using Genetic Algorithm (GA), Particle Swarm Optimization (PSO), hybrid PSO (hPSO), and Cooperative PSO (CPSO). These metaheuristic algorithms can significantly improve JSSP solution efficiency and quality through different optimization approaches. The implementations should include: - GA with chromosome encoding for job sequences, fitness functions measuring makespan, and genetic operators (crossover/mutation) - PSO with particle position vectors representing scheduling solutions and velocity updates for solution space exploration - hPSO combining PSO with local search techniques or other optimization methods for improved convergence - CPSO employing multiple swarms with cooperative mechanisms for complex constraint handling Please provide well-documented source code that demonstrates: 1. Algorithm initialization parameters and solution representation 2. Key functions for fitness evaluation and constraint satisfaction 3. Optimization loops with termination conditions 4. Performance metrics tracking and result visualization capabilities This will enable comprehensive research and analysis of these optimization techniques for JSSP applications.