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A hierarchical evolutionary algorithm for multiobjective optimization in IMRT
2010
Medical Physics (Lancaster)
Purpose: Current inverse planning methods for IMRT are limited because they are not designed to explore the trade-offs between the competing objectives between the tumor and normal tissues. Our goal was to develop an efficient multiobjective optimization algorithm that was flexible enough to handle any form of objective function and that resulted in a set of Pareto optimal plans. Methods: We developed a hierarchical evolutionary multiobjective algorithm designed to quickly generate a diverse
doi:10.1118/1.3478276
pmid:20964218
pmcid:PMC2945740
fatcat:pksdvtiyf5a43g3ijgkvsczo6q