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Engineering costs proxy models for China rural access network and its application 被引量:1
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作者 FU Yun-jin xin zhan-hong +1 位作者 SUN Hong-bin ZHOU Huang-jia 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2007年第4期93-99,109,共8页
The article builds three engineering rural access network models that describe the structure of network elements and their relative engineering parameters for cable access, synchronous code division multiple access(S... The article builds three engineering rural access network models that describe the structure of network elements and their relative engineering parameters for cable access, synchronous code division multiple access(SCDMA), and very small aperture terminal (VSAT) access technologies in the rural areas of China. Of the three access technologies, cable access and SCDMA access are the most popular access technologies. Besides, there still exist some remote special areas such as western mountain areas, whose natural environment is so bad that VSAT becomes the unique economical access way. Fully considering rural areas' geographical environments' impact, the article introduces geographical revised factor (GRF) to the models. By substituting the network data from the operators into the models, the article obtains the integrated networking values and does further researches on different access networks. 展开更多
关键词 engineering costs proxy model rural communication cable access network SCDMA access network VSAT accessnetwork SUBSIDY
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Research of stochastic weight strategy for extended particle swarm optimizer
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作者 XU Jun-jie YUE xin xin zhan-hong 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2008年第2期122-124,134,共4页
To improve the performance of extended particle swarm optimizer, a novel means of stochastic weight deployment is proposed for the iterative equation of velocity updation. In this scheme, one of the weights is specifi... To improve the performance of extended particle swarm optimizer, a novel means of stochastic weight deployment is proposed for the iterative equation of velocity updation. In this scheme, one of the weights is specified to a random number within the range of [0, 1] and the other two remain constant configurations. The simulations show that this weight strategy outperforms the previous deterministic approach with respect to success rate and convergence speed. The experiments also reveal that if the weight for global best neighbor is specified to a stochastic number, extended particle swarm optimizer achieves high and robust performance on the given multi-modal function. 展开更多
关键词 particle swarm optimization evolutionary computation stochastic weight function optimization
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