2016
DOI: 10.1177/0954406215616655
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Ship hull–propeller system optimization based on the multi-objective evolutionary algorithm

Abstract: The optimization of the hull–propeller system of a ship has always been one of the most important aspects of design in order to reduce the costs, mechanical losses and increase the life of system components. The proposed design methodology represents a comprehensive approach to optimize the hull–propeller system simultaneously. In this study, two objective functions are considered, i.e. lifetime fuel consumption (LFC) and lifetime cost function (Cost). The mission profile of the vessel is adopted to minimize t… Show more

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Cited by 16 publications
(9 citation statements)
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“…The design method proposed in [18] provides a comprehensive approach to multi-objective optimization of the hull-propeller system of a ship. Two objective functions, i.e.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The design method proposed in [18] provides a comprehensive approach to multi-objective optimization of the hull-propeller system of a ship. Two objective functions, i.e.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The design hull form of a ship taking into account proper speed have been studied such as Lu et al [7] proposed an innovative methodology of synchronous local optimization of ship bow and stern hull form considering the whole ship speed range. Ghasemi and Zakerdoost [8] proposed design methodology that represents a comprehensive approach to optimize the hull-propeller system simultaneously wherein the well-known evolutionary algorithm based on NSGA-II was employed to handle the multi-objective problems, where the main propeller and hull coefficients are the unknown and are considered as design variables.…”
Section: Stapersma and Woudmentioning
confidence: 99%
“…Second, the compromise results are chosen for comparison. The definition of the compromise solution is shown in Figure 6 [35]. The compromise solution is the point of minimum distance from the optimized solution to the utopia solution.…”
Section: ⅳ Parameters Tuning Of Nonlinear Pidmentioning
confidence: 99%