2021
DOI: 10.1016/j.nima.2021.165844
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Multi-objective optimization with an integrated electromagnetics and beam dynamics workflow

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Cited by 3 publications
(3 citation statements)
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“…The fields are then used for beam emittance dilution evaluation. A statistical analysis using the constraints form realistic fabrication and component placement tolerances will be facilitated by the HPC capabilities of advanced simulation codes [70].…”
Section: Start-to-end Simulationmentioning
confidence: 99%
“…The fields are then used for beam emittance dilution evaluation. A statistical analysis using the constraints form realistic fabrication and component placement tolerances will be facilitated by the HPC capabilities of advanced simulation codes [70].…”
Section: Start-to-end Simulationmentioning
confidence: 99%
“…The fields are then used for beam emittance dilution evaluation. A statistical analysis using the constraints form realistic fabrication and component placement tolerances will be facilitated by the HPC capabilities of advanced simulation codes [30].…”
Section: Start-to-end Simulationmentioning
confidence: 99%
“…Therein, the goal is to find so-called Pareto optimal solutions, which cannot be further improved with respect to one objective without worsening another [24]. Such MOO problems are faced and tackled increasingly more often in various engineering applications that concern geometry optimization [25][26][27][28]. To address these problems, traditional GAs have been extended, e.g., in the form of so-called nondominated sorting genetic algorithms (NSGAs) [29][30][31][32].…”
Section: Introductionmentioning
confidence: 99%