Abstract
In this paper, artificial neural networks and genetic algorithms for solving optimization problems in ship control systems have been proposed. The gradient Hopfield ANN for linear minimization is considered. Moreover, HANN for finding local Pareto-optimal solutions in multicriteria optimization of designed navigation systems has been considered. Finally, genetic-neural algorithm GNA for improving a quality of solutions have been introduced.
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