English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

谢永浩 高嵩峰 代明竹 (北京建筑大学机电与车辆工程学院 北京100044)  摘 要 优化了基于改进蚁群算法的虚拟网络映射结果。以最优化应用底层网络的资源,提升虚拟网络映射 底 层 网 络的资源利用效率为研究目标,在不需要支持路径分裂底层网络的情况下,提出一种新的基于改进蚁群算法的虚拟网 络映射。通过引入高斯过程模型,加快蚁群优化算法的收敛速度,满足实际应用的实时性要求;并且以映 射 开 销 作 为 适应度函数,最终解决虚拟网络映射问题。实验结果表明,在满足相同准确度的前提下,该算法显著地降 低 了 算 法 的 求解时间,发挥了积极影响。 关键词 虚拟网络映射,改进蚁群算法,高斯算法 中图法分类号 TP393 文献标识码 A  Virtual Network Mapping Optimization Based on Improved Ant Colony Algorithm XIE Yong-hao GAO Song-feng DAI Ming-zhu (School of Mechanical-Electronic and Vehicle Engineering,Beijing University of Civil Engineering and Architecture,Beijing 100044,China)  Abstract In virtual network mapping,the virtual network mapping results based on improved ant colony algorithm were optimized.Aiming at the optimal utilization efficiency of the underlying network resources,a new virtual network mapping algorithm based on improved ant colony algorithm was proposed.By introducing the Gauss process model,the convergence speed of ant colony optimization algorithm is accelerated,and the real-time requirement of practical application is satisfied.The results show that the algorithm can significantly reduce the solution time and play apositive role on the premise of satisfying the same accuracy.

基于改进蚁群算法的虚拟网络映射优化 (Virtual Network Mapping Optimization Based on Improved Ant Colony Algorithm).