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GECCO
2006
Springer

Mixed-integer optimization of coronary vessel image analysis using evolution strategies

13 years 10 months ago
Mixed-integer optimization of coronary vessel image analysis using evolution strategies
In this paper we compare Mixed-Integer Evolution Strategies (MI-ES) and standard Evolution Strategies (ES) when applied to find optimal solutions for artificial test problems and medical image processing problems. MI-ES are special instantiations of standard ES that can solve optimization problems with different objective variable types (continuous, integer, and nominal discrete). Artificial test problems are generated with a mixed-integer test generator. The practical image processing problem iss the detection of the lumen boundary in IntraVascular UltraSound (IVUS) images. Based on the experimental results, it is shown that MI-ES generally perform better than standard ES on both artifical and practical image processing problems. Moreover it is shown that MI-ES can effectively improve the parameters settings for the IVUS lumen detection algorithm. Categories and Subject Descriptors I.2.8 [Artificial Intelligence]: Problem Solving, Control
Rui Li, Michael Emmerich, Jeroen Eggermont, Ernst
Added 23 Aug 2010
Updated 23 Aug 2010
Type Conference
Year 2006
Where GECCO
Authors Rui Li, Michael Emmerich, Jeroen Eggermont, Ernst G. P. Bovenkamp
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