Traditional methods are difficult to solve combinatorial optimization problems of network planning .An improved immune genetic algorithm was adopted to solve for network planning .The diversity of population and global optimization of genetic algorithm are improved greatly .The model took minimum expenses of network architecture as optimal objective , and applying the same medium , node limited load , network radiant connectivity as constraint conditions, then designs network structure by immune planning .The evolution results turn out that in comparison with conventional genetic algorithm , the improved immune genetic algorithm has better self -adaptability and effects.
2007, 27 (4):
60-63.
