Speaker
Description
An optimization toolkit named VeRDe (Venetian RFQ Design) has been developed at the Legnaro National Laboratories for the design of Radiofrequency Quadrupoles (RFQs). It builds on well-established RFQ design methodologies and is based on the Los Alamos codes: PARMTEQM, PARI, RFQuick, and CURLI. The toolkit enables detailed control over the evolution of key RFQ cell parameters, like voltage etc...
The RFQ design process, involving many cells (ranging from tens to hundreds), results in a high number of degrees of freedom. While theoretical guidelines help reduce this complexity, final-stage optimization often requires evaluating hundreds to thousands of candidate designs. To address this, VeRDe now incorporates advanced optimization techniques based on evolutionary and swarm intelligence algorithms, specifically: Particle Swarm Optimization (PSO), Improved Stochastic Ranking Evolutionary Strategy (ISRES), Genetic Algorithm (GA), and others. These enhancements aim to significantly accelerate and improve the optimization process.
In this article, a description of the toolkit is presented, along with a comparison between the IFMIF RFQ and a proposed upgrade for the DONES RFQ.
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