Paper Info
Title
Mixed-Integer evolution strategies and their application to intravascular ultrasound image analysis
Abstract
This paper discusses Mixed-Integer Evolution Strategies and their application to an automatic image analysis system for IntraVascular UltraSound (IVUS) images. Mixed-Integer Evolution Strategies can optimize different types of decision variables, including continuous, nominal discrete, and ordinal discrete values. The algorithm is first applied to a set of test problems with scalable ruggedness and dimensionality. The algorithm is then applied to the optimization of an IVUS image analysis system. The performance of this system depends on a large number of parameters that – so far – need to be chosen manually by a human expert. It will be shown that a mixed-integer evolution strategy algorithm can significantly improve these parameters compared to the manual settings by the human expert.
Year
DOI
Venue
2006
10.1007/11732242_37
EvoWorkshops
Keywords
Field
DocType
intravascular ultrasound,mixed-integer evolution strategy algorithm,automatic image analysis system,human expert,ivus image analysis system,large number,mixed-integer evolution strategy,decision variable,ultrasound image analysis,different type,ordinal discrete value,mixed-integer evolution strategies,evolution strategy,image analysis
Integer,Evolutionary algorithm,Computer science,Ordinal number,Image processing,Algorithm,Curse of dimensionality,Integer programming,Evolution strategy,Scalability
Conference
Volume
ISSN
ISBN
3907
0302-9743
3-540-33237-5
Citations 
PageRank 
References 
6
0.65
5
Authors
7
Name
Order
Citations
PageRank
Rui Li1788.10
Michael T. M. Emmerich224722.74
Ernst G. P. Bovenkamp3495.73
Jeroen Eggermont421117.08
Thomas Bäck562986.94
Jouke Dijkstra612616.92
Johan H. C. Reiber71767286.53