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The flight deck of an aircraft carrier is relatively vulnerable compared to its hull, as the damage of some subsystems on the flight deck may cause the carrier losing its operational capability. Therefore, this work aims to represent a simulative method for evaluating the resistance of the flight deck's operational capability in the condition that the aircraft carrier is together with its strike group and the enemy uses the anti-ship missiles with the cluster warheads to attack. In the simulations, the susceptibility of the carrier and the vulnerability of the aircraft guarantee resources are gained. Then, with the help of the closed queuing network, the residual sortie generation rate can be solved, which reflects the flight deck's residual operational capability. The results have proven that the flight deck is of strong resistance to these attacks while it is very sensitive to the loss of some key aircraft guarantee resources.

This paper is concerned with the application of controlled robust optimization (CRO) methods in solving conceptual design problems of bulk carriers sailing in the ocean with many uncertainties. Although there are many publications in the literature on the optimization of uncertainties in ships sailing in the ocean environment, most of them have some limitations in deep engineering applications due to high computational costs or methodological limitations. The purpose of this paper is to demonstrate the feasibility of the CRO approach and to find robust solutions for optimizing ship design for long-term ocean voyages. In this paper, two problems in the conceptual design of bulk carriers for oceanic transportation are investigated. It should be noted that these two problems differ only in terms of the target number and uncertain parameters. Moreover, another robust optimization method is involved in the comparison of the single-objective problem. In order to make the Pareto solution uniformly distributed, a directed search domain approach is used in the optimization process. In this way, a sufficient number of solutions are provided for the designer's analysis at different levels of robustness. The results also show that with the CRO method, the ship designer is able to handle optimization problems with multiple uncertain parameters, which is a useful reference for studying the characteristics associated with this type of ships located in marine navigation. [ABSTRACT FROM AUTHOR]