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EN
This paper presents the modeling of car passenger ferryship design parameters with respect to such design criteria as selected sea-keeping qualities and additional resistance in waves. In the first part of the investigations approximations of selected statistical parameters of design criteria of ferryship were elaborated with respect to ship design parameters. The approximation functions were obtained with the use of artificial neural networks. In the second part of the investigations design solutions were searched for by applying the singleand multi-criterial optimization methods. The multi-criterial optimization was performed by using Pareto method. Such approach made it possible to present solutions in such form as to allow decision makers (shipowner, designer) to select solutions the most favourable in each individual case.
EN
This paper presents the multi-criteria design parameters of the optimisation of the ROPAX ferry using sea-keeping characteristics and additional wave resistance. The design criteria were formed using the method based on deterministic scenario and the partial objective functions were determined as artificial neuron networks. The design parameters' optimisation was carried out with the Pareto method. The best design variants were chosen using the elements of fuzzy logic that allowed, among other things, to present design quality with linguistic variables. This approach allowed choosing the best variant concerning all criteria at the same time.
PL
W artykule przeprowadzono wielokryterialną optymalizację parametrów projektowych promu pasażersko-samochodowego pod kątem wybranych właściwości morskich i dodatkowego oporu statku na fali. Kryteria projektowe sformułowano posługując się metodą opartą na scenariuszach deterministycznych, natomiast funkcje celów cząstkowych wyznaczono w postaci sztucznych sieci neuronowych. Optymalizację parametrów projektowych przeprowadzono metodą Pareto. Do wyboru najlepszych wariantów projektowych wykorzystano elementy logiki rozmytej, co pozwoliło m.in. na przedstawienie walorów projektu za pomocą zmiennych lingwistycznych. Takie podejście umożliwiło wybór wariantu najlepszego pod kątem wszystkich kryteriów jednocześnie.
EN
This paper presents a method which makes it possible to determine optimum hull form of passenger car ferry with regard to selected sea-keeping qualities and additional resistance in waves. In the first phase of investigations a hull form characterized by the highest qualities was selected from the list of similar ships. Next, its optimum dimension ratios were determined. Design criteria were formulated by using a method based on deterministic scenarios, but objective functions of partial targets were determined in the form of artificial neural networks. To select the best design variants elements of fuzzy logic were used, that made it possible a.o. to show merits of the design by means of linguistic variables. Such approach made it possible to find the best hull form and its dimensions from the point of view of all considered criteria simultaneously.
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