Symbolic regression problems by genetic programming with multi-branches

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2972, Issue , 2004, Pages 717-726

  Morales, Carlos Oliver ^a   Vázquez, Katya Rodríguez ^a  

^a UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; COMBINATORIAL CIRCUITS; FUNCTIONS; PATTERN RECOGNITION; PROBLEM SOLVING; SET THEORY; ARTIFICIAL INTELLIGENCE; GENETIC ALGORITHMS; REGRESSION ANALYSIS;

GENETIC PROGRAMMING; MULTI-BRANCHES; SYMBOLIC REGRESSION; TESTING EQUATIONS;

REGRESSION ANALYSIS; GENETIC PROGRAMMING;

MATHEMATICAL FUNCTIONS; SYMBOLIC REGRESSION; SYMBOLIC REGRESSION PROBLEMS;

EID: 9444235095     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (26)

1. Angeline P.J. (1996). Parse trees. Evolutionary Computation 1, basic algorithms and operators. Edited by T. Back, D.B. Fogel and T. Michalewickz.
2. Angeline P.J. and Pollack J.B. (1994), Co - evolving high level representation Artificial life III ed. C.G. Langton. Addison Wesley. Pp 55-71.
3. st. Int. Conference on Genetic Algorithms. Pittsburg, PA, July 1985. ed. J.J. Grefenstette. Hillsdale, NJ: pp 183-187.
4. Harries K. and P. W. H. Smith (1998). Code Growth, Explicitly Defined Introns and Alternative Selection Schemes. Evolutionary Computation Vol. 6, No 4. pp 346-364.
5. Hinchiffe, M.; Hiden, H.; McKay, B.; Willis, M.; Tham, M. and Barton, G.(1996). Modelling Chemical Process System using multi-gene Programming Algorithm. In Koza, J.R., editor, Late Breaking Papers at the Genetic Programming 1996 Conference, pp 56-65, Stanford University, C.A. Stanford Bookstore, Stanford, C.A.
6. Ivakhnenko A. G., (1971) Polynomial theory of complex systems, IEEE Transactions on Systems, Man, and Cybernetics, pp. 364-378.
7. th European Conference, EuroGP 2003. Essex, UK April 2003 proceedings. Eds. Ryan C., Soule T., Keijzer M., Tsang E., Poli R. and Costa E
8. Keijzer M. and V. Babovic.(2002), Genetic Programming, Ensemble Methods and the Bias/Variance Tradeoff - introductory Investigations, in Genetic Programming, European Conference, EuroGP 2003. (Edinburgh). Poli R., Banzhaf W., Langdom W.B., Miller J.F., Nordin P. and Fogarty T.C. eds. LNCS vol. 1802, Springer Verlag. 15-16 April 2000, pp. 76-90.
9. Koza, J.R. (1992). Genetic Programming: on the Programming of Computers by Means of Natural Selection. Cambridge Massachuset. MIT press.
10. Koza, J.R. (1994,). Genetic Programming II: Automatic Discovery of Reusable Programs. Cambridge Massachuset. MIT press.
11. Langdon W. B. (1999). Size Fair and Homologous Tree Genetic Programming Crossovers, in Proceedings of the Genetic and Evolutionary Computation Conference, vol. 2. Morgan Kaufmannm eds.Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith, pp 1092-1097.
12. Langdon W.B. and R. Poli (1997) Fitness Causes Bloat. Second On-line World Conference on Soft Computing in Engineering Design and Manufacturing. Springer-Verlag London, eds. P. K. Chawdhry and R. Roy and R. K. Pan. pp 13-22.
13. Nordin P., Francone F., and Banzhaf W.(1996). Explicitly defined introns and destructive crossover in genetic programming. In Peter J. Angeline and K. E. Kinnear, Jr., editors, Advances in Genetic Programming 2, chapter 6, pages 111(134. MITPress, Cambridge, MA, USA.
14. Nordin, J.P. and Banzhaf, W. (1995) Complexity Compression and Evolution. In Proceedings of Sixth International Conference of Genetic Algorithms, Pittsburgh, 1995. L. Eshelman (ed.). Morgan Kaufmann, San Mateo, CA.
15. Nikolaev I.N and H.Iba. (2001). Accelerated Genetic Programming of Polynomials, in Genetic Programming and Evolvable Machines. Vol. 2. number 3, sept. 2001. pp 231-258.
16. Oliver M.C. (2002). Programación Genética Multi - Ramas en el Modelado y Predicción de Datos Climatológicos. Tesis de Maestría. Universidad Autonoma de México, D.F., México (spanish)
17. Oliver M.C. y K.V. Rodríguez (2002). Estructuta de Arbol vs Estructura Polinomial con Programación Genética en el Modelado de Variables Climatológicas. en el 1er Congreso Español de Algoritmos Geneticos y Bioinspirados. Del 6 al 8 de Febrero de 2002, Merida, España.
18. Poli R. (1996). Genetic programming for image analysis. In John R. Koza, David E. Goldberg, David B. Fogel, and Rick L. Riolo, editors, Proc. Genetic Programming 1996, pages 363-368. MIT Press, 1996.
19. th European Conference, EuroGP 2003, Essex, UK April 2003 proceedings. Eds. Ryan C., Soule T., Keijzer M., Tsang E., Poli R. and Costa E.
20. Rosca J.P. and Ballard D.H. (1996). Discovery of subroutines in genetic programming. Advances in Genetic Programming. Vol. 2, ed. P.J. Angeline and K. Kinnear. Cambridge Massachuset. MIT press. pp 177-202.
21. Salustowicks, R.P., J. Schmidhuber. (1997). Probabilistc Incremental Program Evolution, in Evolutionary Computation vol. 5, number 2. pp. 123-141.
22. Streeter M. and L.A. Becker. (2001), Automated Discovery of Numerical Aproximation Formulae via Genetic Programming. in Proceedings of the Genetic and Evolutionary Conference (GECCO 2001), San Francisco CA. Spector L., Goodman E.D., Wu A., Langdom W.B.,Voigth H.M., Gen M., Sen S., Dorigo M., Pezeshk S., Garzon M.H. and Burke E. eds., Morgam Kaufmann, 7-11 July 2001, pp 147-154.
23. Soule T. J. A. Foster, and J. Dickinson (1996). Code growth in genetic programming. In John R. Koza, David E. Goldberg, David B. Fogel, and Rick L. Riolo, editors, Genetic Programming 1996: Proceedings of the First Annual Conference, pages 215-223, Stanford University, CA, USA, 28-31July 1996. MIT Press.
24. Topchy A. and W.F. Punch. (2001). Faster Genetic Based on Local Gradient Search of Numeric Leaf Values, in Proceedings of the Genetic and Evolutionary Conference (GECCO 2001), San Francisco CA. Spector L., Goodman E.D., Wu A., Langdom W.B.,Voigth H.M., Gen M., Sen S., Dorigo M., Pezeshk S., Garzon M.H. and Burke E. eds., Morgam Kaufmann, 7-11 July 2001, pp 155-162.
25. Sims K. (1993) Interactive Evolution of Equations for Procedural Models. The Visual Computer, v9, pp. 466-476.
26. Zhang, B.-T. and Muhlenbein, H., Balancing Accuracy and Parsimony in Genetic Programming, in Evolutionary Computation, vol.3, no.1, pp.17-38.