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RIS citation export for THPGW071: Genetic Optimisation of Beamline Design for DIAMOND

AU  - Bakkali Taheri, F.
AU  - Apollonio, M.
AU  - Bartolini, R.
AU  - Li, J.
AU  - Singh, B.
ED  - Boland, Mark
ED  - Tanaka, Hitoshi
ED  - Button, David
ED  - Dowd, Rohan
ED  - Schaa, Volker RW
ED  - Tan, Eugene
TI  - Genetic Optimisation of Beamline Design for DIAMOND
J2  - Proc. of IPAC2019, Melbourne, Australia, 19-24 May 2019
CY  - Melbourne, Australia
T2  - International Particle Accelerator Conference
T3  - 10
LA  - english
AB  - The problem of optimisation of beamline structures is studied, from the point of view of multi-objective genetic algorithms. While this approach has been successfully used in the exploration of potential particle accelerator lattices, it has never been applied to beamline design. In this paper, the Non-Dominated Sorting Genetic Algorithm II (NGSA II) is used to optimize a structure where photons are assumed to propagate through the optical elements according to the wavefront model as implemented in SRW. It is shown that appropriate objective functions can help to set up an interesting set of parameters, with competitive computational resources compared to the traditional approach. Examples illustrating this optimization method are shown in the context of DIAMOND.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 3753
EP  - 3756
KW  - synchrotron
KW  - framework
KW  - photon
KW  - radiation
KW  - experiment
DA  - 2019/06
PY  - 2019
SN  - 978-3-95450-208-0
DO  - DOI: 10.18429/JACoW-IPAC2019-THPGW071
UR  - http://jacow.org/ipac2019/papers/thpgw071.pdf
ER  -