Violation learning differential evolution-based hp-Adaptive pseudospectral method for trajectory optimization of Space Maneuver Vehicle

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dc.contributor.authorChai, Runqi
dc.contributor.authorSavvaris, Al
dc.contributor.authorTsourdos, Antonios
dc.date.accessioned2017-05-31T09:07:22Z
dc.date.available2017-05-31T09:07:22Z
dc.date.issued2017-03-09
dc.description.abstractThe sensitivity of the initial guess in terms of optimizer based on hp-adaptive pseudospectral method for solving Space Maneuver Vehicles (SMV) trajectory optimization problem has long been recognised as a difficult problem. Because of the sensitivity with regard to the initial guess, it may cost the solver a large amount of time to do the Newton iteration and get the optimal solution or even the local optimal solution. In this paper, to provide the optimizer a better initial guess and solve the SMV trajectory optimization problem, an initial guess generator using violation learning deferential evolution algorithm is introduced. A new constraint-handling strategy without using penalty function is presented to modify the fitness values so that the performance of each candidate can be generalized. In addition, a learning strategy is designed to add diversity for the population in order to improve the convergency speed and avoid local optima. Several simulation results are conducted by using the combination algorithm; Simulation results indicated that using limited computational efforts, the method proposed to generate initial guess can have better performance in terms of convergency ability and convergency speed compared with other approaches. By using the initial guess, the combinational method can also enhance the quality of the solution and reduce the number of Newton iteration and computational time. Therefore, The method is potentially feasible for solving the SMV trajectory optimization problem.en_UK
dc.identifier.citationChai R, Savvaris A, Tsourdos A. (2017) Violation learning differential evolution-based hp-Adaptive pseudospectral method for trajectory optimization of space maneuver vehicle. IEEE Transactions on Aerospace and Electronic Systems, Volume 53, Issue 4, August 2017, pp. 2031 - 2044en_UK
dc.identifier.issn0018-9251
dc.identifier.urihttp://dx.doi.org/10.1109/TAES.2017.2680698
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/11940
dc.language.isoenen_UK
dc.publisherInstitute of Electrical and Electronics Engineersen_UK
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjecttrajectory optimizationen_UK
dc.subjectSpace Maneuver Vehiclesen_UK
dc.subjectinitial guessen_UK
dc.subjecthpadaptive pseudospectralen_UK
dc.subjectviolation learning deferential evolutionen_UK
dc.subjectconstraint-handlingen_UK
dc.titleViolation learning differential evolution-based hp-Adaptive pseudospectral method for trajectory optimization of Space Maneuver Vehicleen_UK
dc.typeArticleen_UK

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