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In this paper, based on the correlation coefficient, a new multi-objective evolutionary algorithm is put forward. First, the best solution of every objective among the multi-objectives is obtained and they are regarded on as the referenced vector. Second, the correlation coefficient between every individual and the referenced vector is solved and the correlation coefficient is acted as fitness of...
In this paper, based on correlativity theory, a kind of multi-objective evolutionary algorithm is put forward. First, the best solution of every objective among the multi-objectives is obtained and they are regarded on as the referenced vector. Second, the correlativity index between every individual and the referenced vector is solved and the correlativity index is acted as fitness of the individual...
In this paper, based on included angle cosine, a new multi-objective evolutionary algorithm is put forward. First, the best solution of every objective among the multi-objectives is obtained and they are regarded on as the referenced vector. Second, the included angle cosine between every individual and the referenced vector is solved and the included angle cosine is acted as fitness of the individual...
In this paper, first, the method of enhancing smooth degree of original data sequence by function transformation is studied and some transformation functions are presented. Second, original data sequence is transformed by means of function transformation. Third, the mechanism of GM(1,1)-ameliorated model based on adaptive genetic algorithm (AGA) is proposed and the steps of modeling is explained in...
In this paper, the variable weight combination forecasting approach which both uses genetic algorithm with global searching ability and uses neural network with nonlinear mapping ability is put forward. First, the weight coefficients are gained by means of adaptive genetic algorithm. Second, the neural network is trained by weight -obtained and the intending weighted values are predicted further....
Based on adaptive genetic algorithm and grey relation degree, a new algorithm for multi-objective decision is put forward. First, the multi-objective problem is divided up into multiple single-objective problems. Then the optimal results of these single-objective problems are respectively solved and unified which consist of referenced vector. Second, the grey relation degree between each individual...
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