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- W4229757569 abstract "Background: Electing irradiation directions to use in IMRT treatments is one of the first and most important decisions to make in treatment planning. Beam angle optimization (BAO) is a difficult problem to tackle from the mathematical optimization point of view. It is highly non-convex, and optimization approaches based on gradient-descent methods will probably get trapped in one of the many local minima. Simulated Annealing (SA) is a local search probabilistic procedure, inspired from the process of annealing in metallurgy, where a material is heated and cooled in a controlled way in order to increase the size of its crystals, reducing possible defects. Beginning with any admissible solution, the SA algorithm searches the current solution's neighborhood looking for a better one. If a better solution is found, it becomes the current solution. If a worse solution is found, it can nevertheless become the current solution with a given probability that depends on the cooling schedule and will be higher in early iterations, decreasing with the number of iterations. The possibility of worsening the objective function value gives SA the possibility of escaping from local minima." @default.
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- W4229757569 date "2014-01-01" @default.
- W4229757569 modified "2023-09-25" @default.
- W4229757569 title "Simulated annealing applied to IMRT beam angle optimization: A computational study" @default.
- W4229757569 doi "https://doi.org/10.1016/j.ejmp.2014.07.073" @default.
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