Energy Aware Virtual Network Embedding Using Particle Swarm Optimization Algorithm Based on Adaptive
HU Ying① ZHUANG Lei① LAN Julong② MA Ding①③
①(School of Information Engineering, Zhengzhou University, Zhengzhou 450000, China) ②(National Digital Switching System Engineering & Technology Research Center, The PLA Information Engineering University, Zhengzhou 450002, China) ③(College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450000, China)
A novel adaptive co-evolutionary particle swarm optimization algorithm is presented for energy aware virtual network embedding problem. The polymerization degree is designed, which is used to adaptively select searching method, namely variation search, internal search or external search. Second, the algorithm adaptively determine whether to terminate the searching process of particle swarm according to the evolution result. Moreover, extensive simulation under common test environment compares results in energy consumption performing goal, and the results indicate the efficiency of the proposed algorithm.
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.
HU Ying, ZHUANG Lei, LAN Julong, MA Ding. Energy Aware Virtual Network Embedding Using Particle Swarm Optimization Algorithm Based on Adaptive. JEIT, 2016, 38(10): 2660-2666.
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