Abstract：
:In conventional dose optimization algorithms, in brachytherapy, multiple objectives are expressed in terms of an aggregating function which combines individual objective values into a single utility value, making the problem single objective, prior to optimization. A multiobjective genetic algorithm (MOGA) was developed for dose optimization based on an a posteriori approach, leaving the decision-making process to a planner and offering a representative trade-off surface of the various objectives. The MOGA provides a flexible search engine which provides the maximum of information for a decision maker. Tests performed with various treatment plans in brachytherapy have shown that MOGA gives solutions which are superior to those of traditional dose optimization algorithms. Objectives were proposed in terms of the COIN distribution and differential volume histograms, taking into account patient anatomy in the optimization process.
journal_name
Med Physjournal_title
Medical physicsauthors
Lahanas M,Baltas D,Zamboglou Ndoi
10.1118/1.598697subject
Has Abstractpub_date
1999-09-01 00:00:00pages
1904-18issue
9eissn
0094-2405issn
2473-4209journal_volume
26pub_type
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