Applying genetic programming with substructure discovery to a traffic signal control problem

Transactions of the Japanese Society for Artificial Intelligence

Volumn 22, Issue 2, 2007, Pages 127-139

  Kumagai, Juncichi ^a   Ojima, Yasuo ^b   Takashige, Souichi ^b   Kameya, Yoshitaka ^b   Sato, Taisuke ^b  

^a TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

^b NONE

Author keywords

Genetic programming; Substructure discovery; Traffic signal control

Indexed keywords

EID: 34247500869     PISSN: 13460714     EISSN: 13468030     Source Type: Journal    
DOI: 10.1527/tjsai.22.127     Document Type: Article

References (17)

1. T. Asai, K. Abe, S. Kawasoe, H. Arimura, H. Sakamoto, S. Arikawa, Efficient Substructure Discovery from Large Semi-structured Data, Proc. of the 2nd SIAM Intl. Conf. on Data Mining, 158-174, 2002.
2. P. A. N. Bosman. E. D. de Jong, Learning Probabilistic Tree Grammars for Genetic Programming, Proc. of the 8th Intl. Couf. on Parallel Problem Solving from Nature, pp. 192-201, 2004.
3. T. C. Fogarty, Varying the Probability of Mutation in the Genetic Algorithm, Proc. of the 3rd Intl. Conf. on Genetic Algorithms, pp. 104-109, 1989.
4. H. Iba, T. Kurita, H. deGaris, and T. Sato, System Identification using Structured Genetic Algorithms, Proc. of the 5th Intl. Conf. on Genetic Algorithms, 1993.
5. Japanese source
6. Japanese source
7. Japanese source
8. Koza, J., Genetic Programming, Un the Programming of Computers by means of Natural Selection, MIT Press, 1992.
9. J. Koza, Genetic Programming II - Automatic Discovery of Reusable Subprograms, MIT Press. 1994.
10. S. C. Roberts, D. Howard, and J. R. Koza, Evolving Modules in Genetic Programming by Subtree Encapsulation, Proc. of the 4th European Conf. on Genetic Programming, 2001.
11. S. Mikami and Y. Kakazu, Genetic Reinforcement Learning for Cooperative Traffic Signal Control, Proc. of the 1st IEEE Conf. on Evolutionary Computation, pp.223-228, 1994.
12. A. Qureshi, "GPsys1.1". http://www.cs.ucl.ac.uk/external/ aqureshi/gpsys-doc.html
13. R. Salustowicz, Jürgen Schmidhuber, Probabilistic Incremental Program Evolution, Evolutional Computation, Vol.5, No.2, pp.123-141, 1997.
14. Japanese source
15. Y Shan, R. I. McKay, R. Baxter, H. Abbass, D. Essam, H.X. Nguyen, Grammar Model-based Program Evolution, Proc. of the 2004 Congress on Evolutionary Computation, 2004.
16. K. Yanai, H. Iba, Estimation of Distribution Programming based on Bayesian Network, Proc. of the 2003 Congress on Evolutionary Computation, 2003.
17. Japanese source