A Hybrid Evolutionary Multiobjective Algorithm for Anatomy-Based Dose Optimization Algorithm in HDR Brachytherapy

Lahanas, M; Baltas, D; Zamboglou, N

dc.contributor.author	Lahanas, M	en
dc.contributor.author	Baltas, D	en
dc.contributor.author	Zamboglou, N	en
dc.date.accessioned	2014-03-01T01:52:24Z
dc.date.available	2014-03-01T01:52:24Z
dc.date.issued	2003	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/26615
dc.subject	Multiple Objectives	en
dc.subject	Optimal Algorithm	en
dc.subject	Weighted Sums	en
dc.title	A Hybrid Evolutionary Multiobjective Algorithm for Anatomy-Based Dose Optimization Algorithm in HDR Brachytherapy	en
heal.type	journalArticle	en
heal.publicationDate	2003	en
heal.abstract	Multiple objectives must be considered in anatomy based dose optimization for high doserate (HDR) brachytherapy and a large number of parameters must be optimized to satisfyoften competing objectives. For objectives expressed solely in terms of dose variances,deterministic gradient-based algorithms can be applied and a weighted sum approach is ableto produce a representative set of non-dominated solutions. As the number of	en