Genetic Algorithms for the Optimal Design of Superconducting Accelerator Magnets

The paper describes the use of genetic algorithms with the concept of niching for the optimal design of superconducting magnets for the Large Hadron Collider, LHC at CERN. The method provides the designer with a number of local optima which can be further examined with respect to objectives such as...

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Detalles Bibliográficos
Autores principales: Ramberger, S, Russenschuck, Stephan
Lenguaje:eng
Publicado: 1999
Materias:
Accelerators and Storage Rings
Acceso en línea:http://cds.cern.ch/record/382852
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author Ramberger, S
Russenschuck, Stephan
author_facet Ramberger, S
Russenschuck, Stephan
author_sort Ramberger, S
collection CERN
description The paper describes the use of genetic algorithms with the concept of niching for the optimal design of superconducting magnets for the Large Hadron Collider, LHC at CERN. The method provides the designer with a number of local optima which can be further examined with respect to objectives such as ease of coil winding, sensitivity to manufacturing tolerances and local electromagnetic force distribution. A 6 block dipole coil was found to have advantages compared to the standard 5 block version which was previously designed using deterministic optimization methods. Results were proven by a short model magnet recently built and tested at CERN.
id cern-382852
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 1999
record_format invenio
spelling cern-3828522023-05-31T13:24:29Zhttp://cds.cern.ch/record/382852engRamberger, SRussenschuck, StephanGenetic Algorithms for the Optimal Design of Superconducting Accelerator MagnetsAccelerators and Storage RingsThe paper describes the use of genetic algorithms with the concept of niching for the optimal design of superconducting magnets for the Large Hadron Collider, LHC at CERN. The method provides the designer with a number of local optima which can be further examined with respect to objectives such as ease of coil winding, sensitivity to manufacturing tolerances and local electromagnetic force distribution. A 6 block dipole coil was found to have advantages compared to the standard 5 block version which was previously designed using deterministic optimization methods. Results were proven by a short model magnet recently built and tested at CERN.LHC-Project-Report-275CERN-LHC-Project-Report-275oai:cds.cern.ch:3828521999-02-18
spellingShingle Accelerators and Storage Rings
Ramberger, S
Russenschuck, Stephan
Genetic Algorithms for the Optimal Design of Superconducting Accelerator Magnets
title Genetic Algorithms for the Optimal Design of Superconducting Accelerator Magnets
title_full Genetic Algorithms for the Optimal Design of Superconducting Accelerator Magnets
title_fullStr Genetic Algorithms for the Optimal Design of Superconducting Accelerator Magnets
title_full_unstemmed Genetic Algorithms for the Optimal Design of Superconducting Accelerator Magnets
title_short Genetic Algorithms for the Optimal Design of Superconducting Accelerator Magnets
title_sort genetic algorithms for the optimal design of superconducting accelerator magnets
topic Accelerators and Storage Rings
url http://cds.cern.ch/record/382852
work_keys_str_mv AT rambergers geneticalgorithmsfortheoptimaldesignofsuperconductingacceleratormagnets
AT russenschuckstephan geneticalgorithmsfortheoptimaldesignofsuperconductingacceleratormagnets

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