Biased dyadic crossover for variable-length multi-objective optimal control problems
Parsonage, Ben and Maddock, Christie; (2024) Biased dyadic crossover for variable-length multi-objective optimal control problems. In: 2024 IEEE Congress on Evolutionary Computation (CEC). IEEE, JPN. ISBN 9798350308365 (https://doi.org/10.1109/CEC60901.2024.10611888)
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Abstract
This paper presents an enabling technique for social cooperation suitable for variable-length multi-objective direct optimal control problems. Using this approach, individualistic mesh-refinement may be performed across a population of discretised optimal control solutions within a real-coded evolutionary algorithm. Structural homology between individual solutions is inferred via the exploitation of non-uniform dyadic grid structures. Social actions, including genetic crossover, are enabled by identifying nodal intersections between parent vectors in normalised time. Several alternative crossover techniques are discussed, where effectiveness is evaluated based on the likelihood of producing dominating solutions with respect to the current archive. Each technique is demonstrated and compared using a simple numerical test case representing the controlled descent of a Lunar-landing vehicle. Of the examined methods, it is found that a hybrid one/two-point crossover, biased towards higher levels of grid resolution consistently outperforms those based on more traditional, unbiased crossover.
ORCID iDs
Parsonage, Ben ORCID: https://orcid.org/0009-0001-3313-9661 and Maddock, Christie ORCID: https://orcid.org/0000-0003-1079-4863;-
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Item type: Book Section ID code: 90235 Dates: DateEvent8 August 2024Published15 March 2024AcceptedSubjects: Technology > Motor vehicles. Aeronautics. Astronautics > Aeronautics. Aeronautical engineering Department: Faculty of Engineering > Mechanical and Aerospace Engineering
Strategic Research Themes > Ocean, Air and SpaceDepositing user: Pure Administrator Date deposited: 13 Aug 2024 15:09 Last modified: 13 Oct 2024 07:07 URI: https://strathprints.strath.ac.uk/id/eprint/90235