Variable size population for dynamic optimization with genetic programming

Proceedings of the 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009

Volumn , Issue , 2009, Pages 1895-1896

  Vanneschi, Leonardo ^a   Cuccu, Giuseppe ^b  

^a UNIVERSITY OF MILANO BICOCCA   (Italy)

^b DALLE MOLLE INSTITUTE FOR ARTIFICIAL INTELLIGENCE IDSIA   (Switzerland)

Author keywords

Dynamic optimization; Genetic programming; Variable size populations

Indexed keywords

COMPUTATIONAL EFFORT; DYNAMIC ENVIRONMENTS; DYNAMIC OPTIMIZATION; NEW MODEL; POPULATION MODEL; SYMBOLIC REGRESSION PROBLEMS; TARGET FUNCTIONS;

EVOLUTIONARY ALGORITHMS; OPTIMIZATION;

GENETIC PROGRAMMING;

EID: 72749105644     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1569901.1570222     Document Type: Conference Paper

References (4)

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3. M. Keijzer. Improving symbolic regression with interval arithmetic and linear scaling. In C. Ryan et al., editor, Genetic Programming, Proceedings of the 6th European Conference, EuroGP 2003, volume 2610 of LNCS, pages 71-83, Essex, 2003. Springer, Berlin, Heidelberg, New York.
4. M. Tomassini, L. Vanneschi, J. Cuendet, and F. Fernández. A new technique for dynamic size populations in genetic programming. In Proceedings of the 2004 IEEE Congress on Evolutionary Computation (CEC'04), pages 486-493, Portland, Oregon, USA, 2004. IEEE Press, Piscataway, NJ.