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基于自适应协同进化粒子群算法的虚拟网节能映射研究

胡颖 庄雷 兰巨龙 马丁

胡颖, 庄雷, 兰巨龙, 马丁. 基于自适应协同进化粒子群算法的虚拟网节能映射研究[J]. 电子与信息学报, 2016, 38(10): 2660-2666. doi: 10.11999/JEIT151434
引用本文: 胡颖, 庄雷, 兰巨龙, 马丁. 基于自适应协同进化粒子群算法的虚拟网节能映射研究[J]. 电子与信息学报, 2016, 38(10): 2660-2666. doi: 10.11999/JEIT151434
HU Ying, ZHUANG Lei, LAN Julong, MA Ding. Energy Aware Virtual Network Embedding Using Particle Swarm Optimization Algorithm Based on Adaptive[J]. Journal of Electronics and Information Technology, 2016, 38(10): 2660-2666. doi: 10.11999/JEIT151434
Citation: HU Ying, ZHUANG Lei, LAN Julong, MA Ding. Energy Aware Virtual Network Embedding Using Particle Swarm Optimization Algorithm Based on Adaptive[J]. Journal of Electronics and Information Technology, 2016, 38(10): 2660-2666. doi: 10.11999/JEIT151434

基于自适应协同进化粒子群算法的虚拟网节能映射研究

doi: 10.11999/JEIT151434
基金项目: 

国家973计划(2012CB315901),国家自然科学基金(61379079),河南省科技厅攻关项目(122102210042)

Energy Aware Virtual Network Embedding Using Particle Swarm Optimization Algorithm Based on Adaptive

Funds: 

The National 973 Program of China (2012CB315901), The National Natural Science Foundation of China (61379079), The Science and Technology Key Project of Henan Province (122102210042)

  • 摘要: 该文针对虚拟网节能映射问题提出自适应的协同进化粒子群算法。首先,为虚拟网节能映射问题设置了聚合度,该聚合度被用于自适应地选择粒子的搜索方式,即随机搜索、种内搜索或种外搜索。其次,根据粒子群的进化结果,自适应地确定是否终止对子群的搜索。最后,在常用的测试环境下进行了仿真实验,对映射的能耗效果对比了结果,实验结果表明了所提算法的高效性。
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出版历程
  • 收稿日期:  2015-12-17
  • 修回日期:  2016-07-01
  • 刊出日期:  2016-10-19

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