Abstract
This paper presents the application of a neural network of the Hopfield model to a plant layout problem which is classified as an assignment layout problem. The allocation matrix which is the solution of the layout problem is expressed by neurons, and the conditions of constraint are described as synapse connections. Then, we can obtain the energy function of the neural network corresponding to the objective function of the layout problem. The layout method using this Hopfield model is utilized to obtain the suboptimal solution by simulation. The effect of the coefficient of the energy function is also investigated. Furthermore, a layout improvement procedure using the simulated annealing method is developed to avoid the local minimum of the energy function.
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