A new implementation of geometric semantic GP and its application to problems in pharmacokinetics

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7831 LNCS, Issue , 2013, Pages 205-216

  Vanneschi, Leonardo ^a,b,c   Castelli, Mauro ^a,b   Manzoni, Luca ^c   Silva, Sara ^b,d  

^a NOVA INFORMATION MANAGEMENT SCHOOL NOVA IMS   (Portugal)

^b INESC ID   (Portugal)

^c UNIVERSITY OF MILANO BICOCCA   (Italy)

^d UNIVERSITY OF COIMBRA   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

EFFICIENT IMPLEMENTATION; EXPONENTIAL GROWTH; FITNESS LANDSCAPE; GENERALIZATION ABILITY; GENETIC OPERATORS; GEOMETRIC SEMANTICS; ITS APPLICATIONS; REAL-LIFE APPLICATIONS;

GENETIC PROGRAMMING; GEOMETRY; PHARMACOKINETICS; SEMANTICS;

PERSONNEL TRAINING;

EID: 84875119289     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-37207-0_18     Document Type: Conference Paper

References (14)

1. Archetti, F., Lanzeni, S.,Messina, E., Vanneschi, L.: Genetic programming for computational pharmacokinetics in drug discovery and development. Genetic Programming and Evolvable Machines 8, 413-432 (2007)
2. Beadle, L., Johnson, C.: Semantically driven crossover in genetic programming. In: Proc. of the IEEE World Congress on Comput. Intelligence, pp. 111-116. IEEE Press (2008)
3. Jones, T., Forrest, S.: Fitness distance correlation as a measure of problem difficulty for genetic algorithms. In: Proceedings of the Sixth International Conference on Genetic Algorithms, pp. 184-192. Morgan Kaufmann (1995)
4. Kennedy, T.: Managing the drug discovery/development interface. Drug Discovery Today 2(10), 436-444 (1997)
5. Koza, J.R.: Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press, Cambridge (1992)
6. Krawiec, K.: Medial Crossovers for Genetic Programming. In: Moraglio, A., Silva, S., Krawiec, K., Machado, P., Cotta, C. (eds.) EuroGP 2012. LNCS, vol. 7244, pp. 61-72. Springer, Heidelberg (2012)
7. Krawiec, K., Lichocki, P.: Approximating geometric crossover in semantic space. In: GECCO 2009, July 8-12, pp. 987-994. ACM (2009)
8. Langdon, W.B., Poli, R.: Foundations of Genetic Programming. Springer (2002)
9. McPhee, N.F., Ohs, B., Hutchison, T.: Semantic Building Blocks in Genetic Programming. In: O'Neill, M., Vanneschi, L., Gustafson, S., Esparcia Alcázar, A.I., De Falco, I., Della Cioppa, A., Tarantino, E. (eds.) EuroGP 2008. LNCS, vol. 4971, pp. 134-145. Springer, Heidelberg (2008)
10. Moraglio, A., Krawiec, K., Johnson, C.G.: Geometric Semantic Genetic Programming. In: Coello Coello, C.A., Cutello, V., Deb, K., Forrest, S., Nicosia, G., Pavone, M. (eds.) PPSN XII, Part I. LNCS, vol. 7491, pp. 21-31. Springer, Heidelberg (2012)
11. Nguyen, Q.U., Nguyen, X.H., O'Neill, M.: Semantic Aware Crossover for Genetic Programming: The Case for Real-Valued Function Regression. In: Vanneschi, L., Gustafson, S., Moraglio, A., De Falco, I., Ebner, M. (eds.) EuroGP 2009. LNCS, vol. 5481, pp. 292-302. Springer, Heidelberg (2009)
12. Quang, U.N., Nguyen, X.H., O'Neill, M.: Semantics based mutation in genetic programming: The case for real-valued symbolic regression. In: Matousek, R., Nolle, L. (eds.) 15th Intern. Conf. on Soft Computing, Mendel 2009, pp. 73-91 (2009)
13. Uy, N.Q., Hoai, N.X., O'Neill, M., McKay, B.: The Role of Syntactic and Semantic Locality of Crossover in Genetic Programming. In: Schaefer, R., Cotta, C., Kołodziej, J., Rudolph, G. (eds.) PPSN XI. LNCS, vol. 6239, pp. 533-542. Springer, Heidelberg (2010)
14. Uy, N.Q., Hoai, N.X., O'Neill, M., McKay, R.I., Galvan-Lopez, E.: Semantically-based crossover in genetic programming: application to real-valued symbolic regression. Genetic Programming and Evolvable Machines 12(2), 91-119 (2011)