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Intensity Modulated Beam Radiation Therapy Dose Optimization with Multiobjective Evolutionary Algorithms

机译:强度调制光束放射治疗剂量优化与多目标进化算法

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We apply the NSGA-II algorithm and its controlled elitist version NSGA-IIc for the intensity modulated beam radiotherapy dose optimization problem. We compare the performance of the algorithms with objectives for which deterministic optimization methods provide global optimal solutions. The number of parameters to be optimized can be up to a few thousands and the number of objectives varies from 3 to 6. We compare the results with and without supporting solutions. Optimization with constraints for the target dose variance value provides clinical acceptable solutions.
机译:我们应用NSGA-II算法及其控制的Elitist版本NSGA-IIC,用于强度调制光束放射疗法剂量优化问题。我们比较算法的性能与确定性优化方法提供全局最优解决方案的目标。要优化的参数数量可以高达几千次,目标的数量从3到60变化。我们将结果与不支持解决方案进行比较。对目标剂量方差值的约束优化提供临床可接受的解决方案。

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