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The albino differential equation of grey Verhulst model is studied and an improved gray Verhulst model based on GA is proposed. Firstly, grey derivative is albinoed by using Lagrange mid-value theorem, a new kind of variable parameter Verhulst model is built. Then parameter is determined by optimization method based on genetic algorithm; Example shows that the new grey Verhulst model has higher precision...
Due to low accuracy of genetic algorithm and slow speed of ant algorithm for solving the problem, a hybrid algorithm based on genetic algorithm and ant algorithm is promoted and its MATLAB implementation is introduced in this paper. Using the hybrid algorithm to solve the problems of continuous function optimization, the results show that the hybrid algorithm has faster convergence and better optimization...
The aim of this paper is to solve the portfolio problem when security returns are bifuzzy variables. Two types of portfolio selections based on chance measure are provided according to bifuzzy theory. Since the proposed optimization problems are difficult to solve by traditional methods, A hybrid intelligent algorithm by integrating bifuzzy simulation and genetic algorithm is designed. Finally, one...
When combining grey system with RBF neural network, local optimization and convergence problems are still existed, so genetic algorithm is introduced to assist the modeling of grey neural network in this paper. Firstly, genetic algorithm is employed to solve the parameters of improved GM(1,1) with Lagrange's value theorem, and then RBF neural network is parallel connected to compensate errors. A new...
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