Hybrid Genetic Algorithm and Simulated Annealing Approach for QoS-Constrained Multicast Routing Algorithm

This paper presents a QoS-constrained multicast routing algorithm that combines genetic algorithm and simulated annealing optimization methods, along with supporting MATLAB code. The algorithm effectively improves multicast routing efficiency and reliability while meeting quality of service (QoS) requirements. The integration of genetic algorithms and simulated annealing enables broader search space exploration to identify superior solutions. The MATLAB implementation includes key functions for population initialization, fitness evaluation with QoS constraints, crossover and mutation operations, and simulated annealing-based local search optimization. Additionally, we analyze the algorithm's time complexity and space complexity, discuss its advantages and limitations, and provide references for future research. The code structure features modular components for route encoding, constraint validation, and hybrid optimization coordination, making it suitable for various network topology scenarios.