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1, Univariate marginal distribution algorithm(UMDA)is a new evolutionary algorithm and is an efficient algorithm for complicate problem.
2, How do we deduce the joint distribution from marginal distribution of each component ?
3, Simulation results show that this method improves the convergence performance of the scheme when the entropy of correlated source marginal distribution is high.
4, The result is used to find the discounted joint and marginal distribution of surplus before ruin and the deficit at ruin.
5, A method for feature extraction of high resolution remote sensing image is presented which is based on the statistical model of the marginal distribution of wavelet coefficients.
6, A mathematical model is proposed to describe random network which has the same marginal distribution and the boundary condition as BA model.
7, In this paper, we proposed a mathematical model to describe random network which has the same marginal distribution and the boundary condition as BA model.
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