Abstract
The feasibility of dynamic multi-objective optimisation in computational electromagnetism is proved and a relevant benchmark of inverse magnetic diffusion is defined and solved. Accordingly, the optimal control of the geometry of a magnetic pole under step excitation has been proposed as a dynamic optimisation problem, characterised by two constrained objective functions that are both time- and field-dependent; the non-dominated solutions at steady state are to be determined. The benchmark has been solved numerically as a problem of transient magnetic diffusion, whereas the associated Pareto front has been identified by means of an enumerative search method in the time domain. In particular, the effect of a time-dependent energy constraint on the front at steady state has been determined. The theory of dynamic multi-objective optimisation in electromagnetism is discussed.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
