238 S. Silva et al.
References
Alcala-Fdez J, Fernandez A, Luengo J, Derrac J, Garcia S, Sanchez L, Herrera F (2011) Keel data-
mining software tool: data set repository, integration of algorithms and experimental analysis
framework. J Mult Valued Logic Soft Comput 17:2–3, 255–287
Bache K, Lichman M (2013) UCI machine learning repository, university of California, Irvine,
school of information and computer sciences.http://archiveicsuciedu/ml
Bojarczuk CC, Lopes HS, Freitas AA (2000) Genetic programming for knowledge discovery in
chest-pain diagnosis. IEEE Eng Med Biol Mag 19(4):38–44.http://ieeexplore.ieee.org/iel5/51/
18543/00853480.pdf
Castelli M, Silva S, Vanneschi L, Cabral A, Vasconcelos MJ, Catarino L, Carreiras JMB (2013)
Land cover/land use multiclass classification using gp with geometric semantic operators. In:
EvoApplications’13. Springer, Berlin, pp 334–343
Espejo PG, Ventura S, Herrera F (2010) A survey on the application of genetic programming to
classification. Trans Sys Man Cyber Part C 40(2):121–144
Falco ID, Cioppa AD, Tarantino E (2002) Discovering interesting classification rules with genetic
programming. Appl Soft Comput 1(4):257–269
Haynes T (1998) Collective adaptation: the exchange of coding segments. Evol Comput 6(4):
311–338. doi:10.1162/evco.1998.6.4.311.http://dx.doi.org/10.1162/evco.1998.6.4.311
Hsu CW, Lin CJ (2002) A comparison of methods for multi-class support vector machines. IEEE
Trans Neural Netw 13(2):415–425
Ingalalli V, Silva S, Castelli M, Vanneschi L (2014) A multi-dimensional genetic programming
approach for multi-class classification problems. In: Nicolau M, et al. (eds) 17th European
conference on genetic programming. Lecture notes in computer science, vol 8599. Springer,
Granada, pp 48–60
Jabeen H, Baig AR (2013) Two-stage learning for multi-class classification using genetic
programming. Neurocomputing 116:311–316
Kishore JK, Patnaik L, Mani V, Agrawal VK (2000) Application of genetic programming for
multicategory pattern classification. IEEE Trans Evol Comput 4(3):242–258
Koza JR (1992) Genetic programming: volume 1, On the programming of computers by means of
natural selection, vol 1. MIT Press, New York
Koza JR (2010) Human-competitive results produced by genetic programming. Genet Program
Evolvable Mach 11(3–4):251–284
Langdon W, Poli R (2002) Foundations of genetic programming. Springer, Berlin
Li XM, Wang M, Cui LJ, Huang DM (2007) A new classification arithmetic for multi-image
classification in genetic programming. In: International conference on machine learning and
cybernetics, vol 3, pp 1683–1687, 2007
Lin JY, Ke HR, Chien BC, Yang WP (2007) Designing a classifier by a layered multi-population
genetic programming approach. Pattern Recogn 40(8):2211–2225
Lin JY, Ke HR, Chien BC, Yang WP (2008) Classifier design with feature selection and feature
extraction using layered genetic programming. Expert Syst Appl 34(2):1384–1393
Muñoz L, Silva S, Trujillo L (2015) M3gp—multiclass classification with gp. In: Machado P,
Heywood MI, McDermott J, Castelli M, García-Sánchez P, Burelli P, Risi S, Sim K (eds)
Genetic programming. Lecture notes in computer science, vol 9025. Springer International
Publishing, Berlin, pp 78–91
Muni D, Pal N, Das J (2004) A novel approach to design classifiers using genetic programming.
IEEE Trans Evol Comput 8(2):183–196
Poli R, Langdon WB, McPhee NF (2008) A field guide to genetic programming. Published via
http://lulu.comand freely available athttp://www.gp-field-guide.org.uk.http://www.gp-field-
guide.org.uk. (With contributions by J. R. Koza)
Sakprasat S, Sinclair M (2007) Classification rule mining for automatic credit approval using
genetic programming. In: IEEE congress on evolutionary computation, 2007. CEC 2007,
pp 548–555