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Multiobjective genetic algorithm approach to optimize beam matching and beam transport in high-intensity hadron linacs
In this article we demonstrate how a multiobjective genetic algorithm, like the nondominated sorting genetic algorithm II (NSGAII), and a selection tool, like the technique for order preference by similarity to ideal solution (TOPSIS), can be employed for beam matching and for optimizing the beam tr...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
2019
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1103/PhysRevAccelBeams.22.054201 http://cds.cern.ch/record/2689811 |