Description: Communication networks for multi-QoS Constrained multicast routing calculation, proposed a simulated annealing technique based on improved genetic algorithm HGA-QoSR. The algorithm to simulated annealing and local optimization ability of genetic algorithms global optimization ability of organic combination and isolation niche mechanism to control the use of independent evolution of populations, the evolution of the species to maintain ecological diversity, to improve the algorithm efficiency settlement quality. Theoretical analysis and simulation results show that compared with traditional genetic algorithm, the algorithm performance significantly improved.
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- [rl-glue.2.0.1] - Toolbox RL, enhanced learning algorithm,
- [RVM] - failed to translate
File list (Check if you may need any files):
多播路由小生境遗传算法\adding_point_adjacency.asv
......................\adding_point_adjacency.m
......................\average_fitness_computing.m
......................\brocast_best.asv
......................\brocast_best.m
......................\check_network_points.asv
......................\check_network_points.m
......................\chromosome_mutation.asv
......................\chromosome_mutation.m
......................\clear_same_pop.asv
......................\clear_same_pop.m
......................\clear_worst_pop.asv
......................\clear_worst_pop.m
......................\crossover.asv
......................\crossover.m
......................\direct_adjacency.asv
......................\direct_adjacency.m
......................\distance_computing.m
......................\evaluate_chromosome.asv
......................\evaluate_chromosome.m
......................\evaluate_pop.m
......................\evaluate_pops.m
......................\find_best.asv
......................\find_best.m
......................\find_worst.m
......................\generate_population.m
......................\get_destination_nodes.asv
......................\get_destination_nodes.m
......................\is_same_pop.asv
......................\is_same_pop.m
......................\is_valid_path.m
......................\make_adjacency_matrix.m
......................\make_adjacency_matrix_by_two_chromosomes.m
......................\make_new_chromosome.asv
......................\make_new_chromosome.m
......................\mc_nga_main.asv
......................\mc_nga_main.m
......................\multicast_routing_problem.asv
......................\multicast_routing_problem.m
......................\mutation.asv
......................\mutation.m
......................\mutation_new_path.asv
......................\mutation_new_path.m
......................\replace_pop.m
......................\selection.m
......................\Untitled4.m
多播路由小生境遗传算法
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