Biomedical Engineering Reference
In-Depth Information
[45] M.J. West-Eberhard, Developmental plasticity and evolu-
tion , Oxford University Press, New York, NY, USA
(2003).
[46] S. Ben-Tabou de Leon and E.H. Davidson, Gene regula-
tion: gene control network in development, Annu Rev
Biophys Biomol Struct 36 (2007), 191-212.
[47] L. Spector and K. Stoffel, Ontogenetic programming,
Proceedings of genetic programming 1996 (J. Koza, D.E.
Goldberg, D.B. Fogel, and R. Riolo, eds.), MIT Press,
Cambridge, MA, USA (1996), 394-399.
[48] N.W. Daw, N.E. Berman, and M. Ariel, Interaction of
critical periods in the visual cortex of kittens, Science
199 (1978), 565-567.
[49] S. Harding, J. Miller, and W. Banzhaf, Evolution, devel-
opment and learning using self-modifying cartesian
genetic programming, Proceedings of the 11th Interna-
tional conference on genetic and evolutionary computation
(F. Rothlauf, ed.), ACM Press, New York, NY, USA
(2009), 699-706.
[50] J. Koza, F.H. Bennett, D. Andre, and M.A. Keane,
Genetic programming III: Darwinian invention and problem
solving , Morgan Kaufmann, San Francisco, CA, USA
(1999).
[51] A. Kattan and R. Poli, Evolution of human-competitive
lossless compression algorithms with gp-zip2, Genet
Program Evol Mach 12 (2011), 1-30.
[52] C. Ryan, Automatic re-engineering of software using genetic
programming , Kluwer Academic, Boston, MA, USA
(2000).
[53] S. Forrest, T.V. Nguyen, W. Weimer, and C. Le Goues,
A genetic programming approach to automated soft-
ware repair, Proceedings of the 11th international confer-
ence on genetic and evolutionary computation (F. Rothlauf,
ed.), ACM Press, New York, NY, USA (2009), 947-954.
[54] B. Bhanu and Y. Lin, Object detection in multi-modal
images using genetic programming, Appl Soft Comput
4 (2004), 175-201.
[55] M. Zhang, U. Bhowan, and N. Bunna, Genetic pro-
gramming for object detection: a two-phase approach
with an improved fitness function, Electronic Lett
Comput Vision Image Anal 6 (2007), 27-43.
[56] R. Poli, Genetic programming for feature detection and
image segmentation, in Evolutionary computation (T.
Fogarty, ed.), Springer-Verlag, Berlin, Germany (1996),
110-125.
[57] S. Harding and W. Banzhaf, Genetic programming on
gpus for image processing, Int J High-Perform Syst
Archit 1 (2008), 231-240.
[58] W. Fu, M. Johnston, and M. Zhang, Genetic programming
for edge detection: a global approach, Proceedings of CEC
2011 , IEEE Press, New York, NY, USA (2011), 254-261.
[59] G. Olague and L. Trujillo, Evolutionary-computer-
assisted design of image operators that detect interest
points using genetic programming, Image Vision Comput
29 (2011), 484-498.
[60] A. Song and V. Ciesielski, Texture segmentation by
genetic programming, Evol Comput
16 (2008),
461-481.
[61] M. Harman and A. Mansouri, Search-based software
engineering: introduction to the special issue, IEEE
Trans Softw Eng 36 (2010), 737-741.
[62] PostgreSQL, Manual, version 9.1. http://www.postgresql.
org/docs/9.1/static/geqo-pg-intro.html (accessed 25 June
2012).
[63] H2, H2 database - features. http://www.h2database.
com/html/features.html (accessed 25 June 2012).
[64] R. Stadelhofer, W. Banzhaf, and D. Suter, Evolving black-
box quantum algorithms using genetic programming,
Artif Intell Eng Design and Manuf 22 (2008), 285-297.
[65] F. Archetti, I. Giordani, and L. Vanneschi, Genetic pro-
gramming for QSAR investigation of docking energy,
Appl Soft Comput 10 (2010), 170-182.
[66] N. Naderi, P. Roshani, M.Z. Samani, and M.A.
Tutunchian, Application of genetic programming for
estimation of soil compaction parameters, Appl Mech
Mater 147 (2012), 70-74.
[67] M. Ali Ghorbani, R. Khatibi, A. Aytek, O. Makarynskyy,
and J. Shiri, Sea water level forecasting using genetic
programming and comparing the performance with arti-
ficial neural networks, Comput Geosci 36 (2010), 620-627.
[68] P. Charbonneau, Genetic algorithms in astronomy and
astrophysics, Astrophys J Suppl Ser 101 (1995), 309-334.
[69] J. Li, X. Yao, C. Frayn, H. Khosroshahi, and S. Ray-
chaudhury, An evolutionary approach to modeling
radial brightness distributions in elliptical galaxies, in
Parallel problem solving from Nature: PPSN VIII (X. Yao,
E. Burke, J.A. Lozano, J. Smith, J.J. Merelo-Guervs, J.A.
Bullinaria, J. Rowe, P. Tino, A. Kabn, and H.-P. Schwe-
fel, eds.), Springer-Verlag, Berlin, Germany (2004),
591-601.
[70] W.P. Worzel, J. Yu, A.A. Almal, and A.M. Chinnaiyan,
Applications of genetic programming in cancer
research, Int J Biochem Cell Biol 41 (2009), 405-413.
[71] S.M. Winkler, M. Affenzeller, and S. Wagner, Using
enhanced genetic programming techniques for evolv-
ing classifiers in the context of medical diagnosis, Genet
Program Evol Mach 10 (2009), 111-140.
[72] S. Silva and L. Vanneschi, State-of-the-art genetic pro-
gramming for predicting human oral bioavailability of
drugs, Adv Bioinformat 74 (2010), 165-173.
[73] J. Koza, Human-competitive results produced by
genetic programming, Genet Program Evol Mach 11
(2010), 251-284.
[74] M. Brameier and W. Banzhaf, A comparison of linear
genetic programming and neural networks in medical
data mining, IEEE Trans Evol Comput 5 (2001), 17-26.
[75] P.G. Espejo, S. Ventura, and F. Herrera, A survey on the
application of genetic programming to classification,
IEEE Trans Syst Man Cybern, Part C: Appl Rev 40 (2010),
121-144.
Search WWH ::




Custom Search