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amga.cec09

于 2011-11-13 发布 文件大小:84KB
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  hybrid Archive-based Micro Genetic Algorithm (AMGA) on a set of bound-constrained synthetic test problems is reported. The hybrid AMGA proposed in this paper is a combination of a classical gradient based single-objective optimization algorithm and an evolutionary multi-objective optimization algorithm.

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    说明:  输入网络参数,从而得到网络的关联矩阵、基本回路矩阵和基本割集矩阵Qf(Enter the network parameters, and thus obtain the network incidence matrix, fundamental circuit matrix and the basic cut-set matrix Qf)
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    积分:1
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    积分:1
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