Artificial Neural Networks On Optimization Of Board Cutting

This project focus on the problem about how to optimize the usage of board material in the furniture industry. This paper first introduced the Genetic Algorithms and Artificial Neural Networks, which have been widely used in optimization of allocating. Then presented a method which using the genetic algorithms to optimize the weights of artificial neural networks, last applied the new method to optimize board allocating of furniture of production and present a test. The experiment result proofed that the method by using the GA for optimizing the weighs of the ANN can raise the utilizing rate of board and can shorten the time of the design. At the same time, this method can simultaneously search in many directions, thus greatly increasing the probability of finding a global optimum.