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- W2327519787 abstract "Space station logistics strategy optimisation is a complex engineering problem with multiple objectives. Finding a decision-maker-preferred compromise solution becomes more significant when solving such a problem. However, the designer-preferred solution is not easy to determine using the traditional method. Thus, a hybrid approach that combines the multi-objective evolutionary algorithm, physical programming, and differential evolution DE algorithm is proposed to deal with the optimisation and decision-making of space station logistics strategies. A multi-objective evolutionary algorithm is used to acquire a Pareto frontier and help determine the range parameters of the physical programming. Physical programming is employed to convert the four-objective problem into a single-objective problem, and a DE algorithm is applied to solve the resulting physical programming-based optimisation problem. Five kinds of objective preference are simulated and compared. The simulation results indicate that the proposed approach can produce good compromise solutions corresponding to different decision-makers’ preferences." @default.
- W2327519787 created "2016-06-24" @default.
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- W2327519787 date "2015-10-07" @default.
- W2327519787 modified "2023-09-27" @default.
- W2327519787 title "Multi-objective optimisation and decision-making of space station logistics strategies" @default.
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- W2327519787 doi "https://doi.org/10.1080/00207721.2015.1091898" @default.
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