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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...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
1999
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/382852 |