An interactive fuzzy physical programming for solving multiobjective skip entry problem

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dc.contributor.author Chai, Runqi
dc.contributor.author Savvaris, Al
dc.contributor.author Tsourdos, Antonios
dc.contributor.author Xia, Yuanqing
dc.date.accessioned 2017-08-15T10:27:08Z
dc.date.available 2017-08-15T10:27:08Z
dc.date.issued 2017-04-24
dc.identifier.citation Chai R, Savvaris A, Tsourdos A, Xia Y, An interactive fuzzy physical programming for solving multiobjective skip entry problem, IEEE Transactions on Aerospace and Electronic Systems, Volume 53, Issue 5, Oct. 2017, pp2385-2398 en_UK
dc.identifier.issn 0018-9251
dc.identifier.uri http://dx.doi.org/10.1109/TAES.2017.2696281
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/12314
dc.description.abstract The multi-criteria trajectory planning for Space Manoeuvre Vehicle (SMV) is recognised as a challenging problem. Because of the nonlinearity and uncertainty in the dynamic model and even the objectives, it is hard for decision makers to balance all of the preference indices without violating strict path and box constraints. In this paper, to provide the designer an effective method and solve the trajectory hopping problem, an Interactive Fuzzy Physical Programming (IFPP) algorithm is introduced. A new multi-objective SMV optimal control problem is formulated and parameterized using an adaptive technique. By using the density function, the oscillations of the trajectory can be captured effectively. In addition, an interactive decision-making strategy is applied to modify the current designer’s preferences during optimization process. Two realistic decision-making scenarios are conducted by using the proposed algorithm; Simulation results indicated that without driving objective functions out of the tolerable region, the proposed approach can have better performance in terms of the satisfactory degree compared with other approaches like traditional weighted-sum method, Goal Programming (GP) and fuzzy goal programming (FGP). Also, the results can satisfy the current preferences given by the decision makers. Therefore, The method is potentially feasible for solving multi-criteria SMV trajectory planning problems. en_UK
dc.language.iso en en_UK
dc.publisher IEEE en_UK
dc.rights ©2017 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
dc.subject Space manoeuvre vehicle en_UK
dc.subject Multi-objective en_UK
dc.subject Interactive fuzzy physical programming en_UK
dc.subject Density function en_UK
dc.subject Satisfactory degree en_UK
dc.subject Trajectory planning en_UK
dc.title An interactive fuzzy physical programming for solving multiobjective skip entry problem en_UK
dc.type Article en_UK


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