Learning computer programs with the bayesian optimization algorithm

GECCO 2005 - Genetic and Evolutionary Computation Conference

Volumn , Issue , 2005, Pages 747-748

  Looks, Moshe ^a   Goertzel, Ben ^b   Pennachin, Cassio ^b  

^a Object Sciences Corporation   (United States)

^b NOVAMENTE LLC   (United States)

Author keywords

Empirical Study; Genetic Programming; Representations

Indexed keywords

EMPIRICAL STUDY; GENETIC PROGRAMMING; REPRESENTATIONS;

COMPUTER PROGRAMMING; GENETIC ALGORITHMS; MATHEMATICAL MODELS; OPTIMIZATION; PROBABILISTIC LOGICS; TREES (MATHEMATICS);

LEARNING ALGORITHMS;

EID: 32444436885     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1068009.1068134     Document Type: Conference Paper

References (8)

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3. Koza, J. R. 1992. Genetic Programming: On the Programming of Computers by Means of Natural Selection. Cambridge, MA: MIT Press.
4. Gene Ontology Consortium. 2000. Gene Ontology: Tool for Unification of Biology. Nature Genet, 25:25-29.
5. Ocenasek, J. 2002. Parallel Estimation of Distribution Algorithms, PhD. thesis, Brno University of Technology.
6. Pelikan, M. 2002. Bayesian Optimization Algorithm: From Single Level to Hierarchy. Ph.D. thesis, University of Illinois at Urbana-Champaign.
7. Salustowicz, R. P., and Schmidhuber, J. 1997. Probabilistic Incremental Program Evolution. Evolutionary Computation, 5(2):123-141.
8. Shan, Y., McKay, R. I., Abbass, H. A., and Essam, D. 2003. Program Evolution with Explicit Learning: a New Framework for Program Automatic Synthesis. Technical Report CS04/03. School of Computer Science, Univ. College, Univ. of New South Wales.