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Can I read Derivative-Free Optimization of a Rapid-Cycling Synchrotron on EtoBox?

Derivative-Free Optimization of a Rapid-Cycling Synchrotron by Eldred, Jeffrey S.; Larson, Jeffrey; Padidar, Misha; Stern, Eric; Wild, Stefan M. is a scholarly article available to read on EtoBox.

What is Derivative-Free Optimization of a Rapid-Cycling Synchrotron about?

We develop and solve a constrained optimization model to identify an integrable optics rapid-cycling synchrotron lattice design that performs well in several capacities. Our model encodes the design criteria into 78 linear and nonlinear constraints, as well as a single nonsmooth objective, where the objective and some constraints are defined from the output of Synergia, an accelerator simulator. We detail the difficulties of the 23-dimensional simulation-constrained decision space and establish that the space is nonempty. We use a derivative-free manifold sampling algorithm to account for structured nondifferentiability in the objective function. Our numerical results quantify the dependence of solutions on constraint parameters and the effect of the form of objective function.

Author
Eldred, Jeffrey S.; Larson, Jeffrey; Padidar, Misha; Stern, Eric; Wild, Stefan M.
Published
2021
Language
EN

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