摘要
通过将退火机制引入遗传算法的选择运算中，提高了收敛速度，克服了传统遗传算法容易早熟的问题，较好地解决了网络划分优化问题．
The annealing mechanism is introduced to the selection operation of genetic algorithm for increasing the convergent speed and overcoming the premature problem found frequently in traditional genetic algorithm. The optimization of network segmentation is solved conveniently. The experiment study shows that the algorithm is effective for the optimization of network segmentation.
出处
《华中理工大学学报》
CSCD
北大核心
1999年第3期62-64,97,共4页
Journal of Huazhong University of Science and Technology
基金
国家九五重点科技攻关项目
