节点文献
电力骨干光通信网业务路由优化策略研究
Genetic algorithm based services route optimization method for electric power optical communication network backbone
【摘要】 通过对业务平均风险度、业务风险均衡度和业务综合风险度进行优化,采用遗传算法对电力骨干光通信网的业务路由进行优化分配,提出了有针对性的染色体编解码方案及适应度函数。对优化方法进行了仿真分析,证明了算法的有效性并给出了不同指标的优化效果,为电力通信业务的可靠性评估和网络运行方式优化提供理论参考。
【Abstract】 Based on mean service, service risk equilibrium degree and aggregate service risk evaluation index, a genetic algorithm is used to optimize service route of power backbone optical network. Proposed targeted chromosome coding and decoding programs and fitness functions. The paper analyzes the optimization method through simulation. The optimization results of different indexes are given and prove the rationality of the algorithm. The method can be used for power communication network reliability evaluation and operation mode optimization.
【关键词】 电力骨干光通信网;
业务风险;
路由优化;
【Key words】 electricpower optical communication network backbone; service risk; route optimization;
【Key words】 electricpower optical communication network backbone; service risk; route optimization;
【基金】 国家电网公司科技项目(SGIT[2012]335)资助;国家自然科学基金(51377122)资助;国家自然科学基金青年基金(51007066)资助
- 【文献出处】 光通信技术 ,Optical Communication Technology , 编辑部邮箱 ,2014年05期
- 【分类号】TN929.1
- 【被引频次】12
- 【下载频次】143