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@inproceedings{montis:icalepcs2023-thpdp028, author = {M. Montis and L. Bellan}, title = {{Particle Swarm Optimization Techniques for Automatic Beam Transport at the Lnl Superconducting Linac Accelerators}}, % booktitle = {Proc. ICALEPCS'23}, booktitle = {Proc. 19th Int. Conf. Accel. Large Exp. Phys. Control Syst. (ICALEPCS'23)}, eventdate = {2023-10-09/2023-10-13}, pages = {1370--1373}, paper = {THPDP028}, language = {english}, keywords = {EPICS, controls, cavity, beam-transport, linac}, venue = {Cape Town, South Africa}, series = {International Conference on Accelerator and Large Experimental Physics Control Systems}, number = {19}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {02}, year = {2024}, issn = {2226-0358}, isbn = {978-3-95450-238-7}, doi = {10.18429/JACoW-ICALEPCS2023-THPDP028}, url = {https://jacow.org/icalepcs2023/papers/thpdp028.pdf}, abstract = {{The superconductive quarter wave cavities hadron Lin-ac ALPI is the final acceleration stage at the Legnaro National Laboratories and it is going to be used as re-acceleration line of the radioactive ion beams for the SPES (Selective Production of Exotic Species) project. The Linac was designed in ’90s with the available techniques and it was one of the peak technologies of this kind in Europe at those times, controls included. In the last decade, controls related to all the functional systems composing the accelerator have been ungraded to an EPICS-based solution. This upgrade has given us the opportunity to design and test new possible solutions for automatic beam transport. The work described in this paper is based on the experience and results (in terms of time, costs, and manpower) obtained using Particle Swarm Optimization (PSO) techniques for beam transport optimization applied to the ALPI accelerator. Due to the flexibility and robustness of this method, this tool will be extended to other parts of the facility.}}, }