Author(s)

Jerzy Balicki & Zygmunt Kitowski

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. 1. Introduction Operating and configurations of ship control systems are very complex. So, for estimating of their quality, we need several parameters. If there are considered the set of feasible alternatives of navigation systems, we have to solve the instance of multicriteria optimization problem [1]. Optimization techniques have many disadvantages related with

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