Solving multiobjective constrained trajectory optimization problem by an extended evolutionary algorithm

Simple item page
dc.contributor.authorChai, Runqi
dc.contributor.authorSavvaris, Al
dc.contributor.authorTsourdos, Antonios
dc.contributor.authorXia, Yuanqing
dc.contributor.authorChai, Senchun
dc.date.accessioned2019-01-09T15:41:35Z
dc.date.available2019-01-09T15:41:35Z
dc.date.issued2018-11-22
dc.description.abstractHighly constrained trajectory optimization problems are usually difficult to solve. Due to some real-world requirements, a typical trajectory optimization model may need to be formulated containing several objectives. Because of the discontinuity or nonlinearity in the vehicle dynamics and mission objectives, it is challenging to generate a compromised trajectory that can satisfy constraints and optimize objectives. To address the multiobjective trajectory planning problem, this paper applies a specific multiple-shooting discretization technique with the newest NSGA-III optimization algorithm and constructs a new evolutionary optimal control solver. In addition, three constraint handling algorithms are incorporated in this evolutionary optimal control framework. The performance of using different constraint handling strategies is detailed and analyzed. The proposed approach is compared with other well-developed multiobjective techniques. Experimental studies demonstrate that the present method can outperform other evolutionary-based solvers investigated in this paper with respect to convergence ability and distribution of the Pareto-optimal solutions. Therefore, the present evolutionary optimal control solver is more attractive and can offer an alternative for optimizing multiobjective continuous-time trajectory optimization problems.en_UK
dc.identifier.citationChai R, Savvaris A, Tsourdos A, et al., (2020) Solving multiobjective constrained trajectory optimization problem by an extended evolutionary algorithm. IEEE Transactions on Cybernetics, Volume 50, Issue 4, April 2020, pp. 1630-1643en_UK
dc.identifier.cris22257011
dc.identifier.issn2168-2267
dc.identifier.urihttps://doi.org/10.1109/TCYB.2018.2881190
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/13809
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectMultiobjective optimal controlen_UK
dc.subjectmultiple-shootingen_UK
dc.subjectNSGA-III optimizationen_UK
dc.subjectPareto-optimalen_UK
dc.subjecttrajectory optimizationen_UK
dc.titleSolving multiobjective constrained trajectory optimization problem by an extended evolutionary algorithmen_UK
dc.typeArticleen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Solving_multi-objective_spacecraft_trajectory_optimization-2018.pdf
Size:
2.48 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (SATM)