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Comparison Four Different Probability Sampling Methods based on Differential Evolution Algorithm

Qingbo Lu, Xueliang Zhang, Shuhua Wen, Guosheng Lan
2012 Journal of Advances in Information Technology  
Abstract-Differential Evolution (DE) is one kind of evolution algorithm, which based on difference of individuals. DE has exhibited good performance on optimization problem.  ...  The numerical results and Lorenz parameter estimation problem show that the new methods performed better than the original differential evolution algorithm.  ...  Run Length Decoding (RLD) and Arithmetic decoding, produced one-dimensional-array contains the original data for the T-Matrix. This array placed at columns of the T-Matrix.  ... 
doi:10.4304/jait.3.4.206-214 fatcat:lt35ulkqwfbbbikn6xtlfhcoty

Distillation column dynamics and control [article]

Grant Wilson, University Of Canterbury
2014
The microcomputer included an operator console, a 16 channel data acquisition unit, a 4 channel control output unit, and a hardware arithmetic processor.  ...  The results were good, but because of the relatively simple dynamics of the experimental column, the feedforward controller was no better than the feedback controllers.  ...  The results show some offsets in the bottoms composition which could be reduced by further adaption.  ... 
doi:10.26021/1994 fatcat:q2236uifnfez7he3gizbe2taiq

MATRIX DESIGNS AND METHODS FOR SECURE AND EFFICIENT COMPRESSED SENSING A doctoral dissertation by

Valerio Cambareri
unpublished
In addition, CS may be paired with further compression stages such as simple lossless Huffman coding to attain lower code rates.  ...  Welch, “Lower bounds on the maximum cross correlation of signals (corresp.),” IEEE Transactions on Information Theory, vol. 20, no. 3, pp. 397–399, 1974. [76] J.  ... 
fatcat:bjbhyt3otfeujaufklyj7ticqu

Recovering communities in the general stochastic block model without knowing the parameters [article]

Emmanuel Abbe, Colin Sandon
2015 arXiv   pre-print
The results are three-fold: (i) in the constant degree regime, an algorithm is developed that requires only a lower-bound on the relative sizes of the communities and detects communities with an optimal  ...  Most recent developments on the stochastic block model (SBM) rely on the knowledge of the model parameters, or at least on the number of communities.  ...  We next provide some motivations on the problem and further background on the model.  ... 
arXiv:1506.03729v1 fatcat:xhvj7q6hkvcz7mcfdddes4pgpa