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101.
OPTIMIZATION DESIGN OF HYDRAULIC MANIFOLD BLOCKS BASED ON HUMAN-COMPUTER COOPERATIVE GENETIC ALGORITHM 总被引:4,自引:0,他引:4
Feng YiLi LiTian ShujunSchool of Mechanical Engineering Dalian University of Technology Dalian China 《机械工程学报(英文版)》2003,16(3):317-320
Optimization design of hydraulic manifold blocks (HMB) is studied as a complex solid spatial layout problem. Based on comprehensive research into structure features and design rules of HMB, an optimal mathematical model for this problem is presented. Using human-computer cooperative genetic algorithm (GA) and its hybrid optimization strategies, integrated layout and connection design schemes of HMB can be automatically optimized. An example is given to testify it. 相似文献
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Mean-variance relationship (MVR), nowadays agreed in power law form, is an important function. It is currently used by traffic
matrix estimation as a basic statistical assumption. Because all the existing papers obtain MVR only through empirical ways,
they cannot provide theoretical support to power law MVR or the definition of its power exponent. Furthermore, because of
the lack of theoretical model, all traffic matrix estimation methods based on MVR have not been theoretically supported yet.
By observing both our laboratory and campus network for more than one year, we find that such an empirical MVR is not sufficient
to describe actual network traffic. In this paper, we derive a theoretical MVR from ON/OFF model. Then we prove that current
empirical power law MVR is generally reasonable by the fact that it is an approximate form of theoretical MVR under specific
precondition, which can theoretically support those traffic matrix estimation algorithms of using MVR. Through verifying our
MVR by actual observation and public DECPKT traces, we verify that our theoretical MVR is valid and more capable of describing
actual network traffic than power lawMVR.
Supported by the National Basic Research Program of China (Grant No. G2005CB321901) 相似文献
104.
Opportunistic relay selection(ORS)is a promising approach for cooperative communications owing to its low complexity by activating only the best relay.However,in mobile scenarios,the channel state information(CSI)estimated in relay selection may be different from the actual CSI employed in data transmission due to relatively fast varying channels,i.e.,CSI is outdated,which may lead to incorrect relay selection,and hence system performance deteriorates.To address the problem,this paper designs a relay selection strategy with instaneous and statistical CSIs in amplify-and-forward(AF)cooperative networks whose instantaneous CSIs of two hops employed in relay selection are both outdated.Based on high signal-to-noise ratio(SNR)analysis,we propose a distinctive relay selection strategy which can be described as selecting the relay with the asymptotic optimum average symbol error probability(SEP)and outage probability at high SNR.The corresponding asymptotic outage probability and SEP performance analysis are also provided.Finally,simulation results not only validate our theoretical analysis,but also show that in asymmetrical outdated CSI scenarios,the proposed strategy achieves better performance than existing relay selection strategies at medium and high SNR values. 相似文献
105.
This paper presents a novel set-up to be used in the degradation of dye, Various influencing factors, such as the voltage, the number of the anodes, and the catalytic action of Fe^2+, were examined. Chemical oxygen demand (COD), ultraviolet (UV), FTIR absorption spectra, and atomic force microscopy (AFM) were used to monitor the degradation process. The results showed that the efficiency of degradation is raised by increasing the applied voltage, and is further improved when two or three anodes are used. Moreover, the use of Fe^2+ ion can promote the degradation reaction and shorten the degradation time. So the multi-electrode instrument is more efficient in degrading the dye and should be further studied. 相似文献
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109.
SWARM INTELLIGENCE BASED DYNAMIC REAL-TIME SCHEDULING APPROACH FOR SEMICONDUCTOR WAFER FAB 总被引:4,自引:0,他引:4
LiLi FeiQiao WuQidi 《机械工程学报(英文版)》2005,18(1):71-74
Based on the analysis of collective activities of ant colonies, the typical example of swarm intelligence, a new approach to construct swarm intelligence based multi-agent-system (SMAS) for dynamic real-time scheduling for semiconductor wafer fab is proposed. The relevant algorithm, pheromone-based dynamic real-time scheduling algorithm (PBDR), is given. MIMAC test bed data set mini-fab is used to compare PBDR with FIFO (first in first out), SRPT(shortest remaining processing time) and CR(critical ratio) under three different release rules, i.e. deterministic rule, Poisson rule and CONWIP (constant WIP). It is shown that PBDR is prior to FIFO, SRPT and CR with better performance of cycle time, throughput, and on-time delivery, especially for on-time delivery performance. 相似文献
110.