Abstract
This paper presents a novel representation of Cartesian genetic programming (CGP) in which multiple networks are used in the classification of high resolution X-rays of the breast, known as mammograms. CGP networks are used in a number of different recombination strategies and results are presented for mammograms taken from the Lawrence Livermore National Laboratory database.
Original language | English |
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Title of host publication | APPLICATIONS OF EVOLUTIONARY COMPUTING, PROCEEDINGS |
Editors | M Giacobini, A Brabazon, S Cagnoni, GA DiCaro, A Ekart, AI EsparciaAlcazar, M Farooq, A Fink, P Machado, J McCormack, M ONeill, F Neri, M Preuss, F Rothlauf, E Tarantino, S Yang |
Place of Publication | BERLIN |
Publisher | Springer |
Pages | 405-413 |
Number of pages | 9 |
Volume | 5484 LNCS |
ISBN (Print) | 978-3-642-01128-3 |
Publication status | Published - 2009 |
Event | 12th European Conference on Genetic Programming - Tubingen Duration: 15 Apr 2009 → 17 Apr 2009 |
Conference
Conference | 12th European Conference on Genetic Programming |
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City | Tubingen |
Period | 15/04/09 → 17/04/09 |
Keywords
- Evolutionary algorithms
- Cartesian genetic programming
- mammography
- MICROCALCIFICATIONS