Search for: [Abstract = "In this paper, a Hopfield neural\-network population for solving NP\-hard multiobjective optimization problems with zero\-one decision variables is proposed. The initial states of the Hopfield models in this population are modified by a genetic algorithm and the energy functions are constructed by using a non\-negative convex combination method. Accordingly, optimization neural networks for the related optimization problem are designed. Simulation results are also presented to illustrate the effectiveness of the approach."]

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