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The use of a multiobjective evolutionary algorithm to increase flexibility in the search for better IMRT plans

Purpose: To evaluate how a more flexible and thorough multiobjective search of feasible IMRT plans affects performance in IMRT optimization. Methods: A multiobjective evolutionary algorithm (MOEA) was used as a tool to investigate how expanding the search space to include a wider range of penalty fu...

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Detalhes bibliográficos
Main Authors: Holdsworth, Clay, Kim, Minsun, Liao, Jay, Phillips, Mark
Formato: Artigo
Idioma:Inglês
Publicado em: American Association of Physicists in Medicine 2012
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3337665/
https://ncbi.nlm.nih.gov/pubmed/22482647
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.3697535
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